Factor exposure indexes Value factor

Size: px
Start display at page:

Download "Factor exposure indexes Value factor"

Transcription

1 Research Factor exposure ndexes Value factor ftserussell.com August 204

2 . Summary The value effect s one of the most studed market anomales [2-5]. The value effect or value premum refers to the tendency of stocks wth lower valuaton ratos to earn above average returns over the long run. For example, the cross-sectonal varaton of stock returns across countres can be partly explaned by a global value factor [6]. Such a value effect has been observed across many dfferent markets, regons and sample perods []. In ths paper, we use a combnaton of several common valuaton measures to capture the value premum. We assess forecast measures of Earnngs Yeld, Book to Prce, Cash Flow Yeld, Sales to Prce and Dvdend Yeld. All valuaton measures are calculated on a 2-month forward bass usng IBES estmates. We fnd a value premum that s economcally sgnfcant usng both absolute and relatve measures of value. However, the ablty to capture any value premum vares across valuaton measures. In terms of absolute measures of value, Earnngs Yeld s the most sgnfcant, followed by Cash Flow Yeld, Sales to Prce, Book to Prce and fnally Dvdend Yeld. Country relatve measures of value are generally comparable to absolute measures of value n ther ablty to dentfy a value premum: the exceptons are Earnngs Yeld whch s poorer and Sales to Prce, whch s superor to ts absolute measure. Furthermore, when value s measured by Earnngs Yeld, Cash Flow Yeld and Sales to Prce, value effects are relatvely persstent over tme. The strength and persstency of ndvdual value effects and levels of correlaton amongst ndvdual valuaton measures suggest that a combnaton of Earnngs Yeld, Cash Flow Yeld and Sales to Prce s approprate. We llustrate the smulated hstorcal performance characterstcs of varous composte value factors wthn the context of a set of llustratve ndexes. Gven the hgh correlaton between Cash Flow Yeld and Book to Prce and the smlarty of ndex level characterstcs between ndexes formed on two and three-factor compostes, we prefer a three-factor composte value measure. Snce our analyss s very much based n sample, ths s a cautous choce whch ensures greater factor dversty. Ths choce has the further advantage that our composte factor has a greater orentaton towards factors that are less susceptble to manpulaton (Cash Flow Yeld and Sales to Prce) than to those that are (Earnngs Yeld). Index characterstcs, ncludng capacty, levels of dversfcaton and the degree of exposure to the factor of nterest are robust to the frequency and tmng of the ndex rebalance. Rebalance frequency has a substantal mpact on turnover. An annual rebalance mnmses turnover; we make the pragmatc decson to rebalance annually n September order to synchronse ndex rebalances wth revews of the underlyng ndex unverse and other factor (Qualty) ndexes. We construct a broad value ndex that ncludes all underlyng ndex consttuents. We subsequently form a narrow value ndex contanng fewer stocks and dsplayng greater exposure to value and assess the robustness of performance outcomes. Ths ncreased exposure to value results n mprovements n performance compared to a broad value ndex. The paper s structured as follows: Secton 2 assesses alternatve measures of valuaton from the perspectve of sgnal strength, persstency and correlaton. FTSE Russell Factor exposure ndexes value factor

3 Secton 3 examnes practcal factor ndexes based on ndvdual valuaton measures. A broad composte value ndex s examned n Secton 4 n the context of an approprate rebalance frequency. Secton 5 examnes the mplcatons of formng a narrow composte value ndex. Secton 6 concludes. 2. Regresson analyss In order to assess the pure factor performance characterstcs of each value factor, we perform the regresson analyss detaled n Appendx A. Ths analyss results n the return to each deal factor mmckng portfolo and therefore avods any dependence on the method of ndex constructon chosen. We examne consttuents of the FTSE Developed unverse, performng monthly cross-sectonal regressons for the perod March 2000 to December 203. Table shows the average deal monthly factor returns and t-stats for each ndvdual factor wth and wthout the ncluson of ndustry and country membershp as addtonal factors. An equally weghted regresson scheme and monthly local prce returns are used to form each cross-sectonal regresson. Earnngs Yeld s the strongest and most sgnfcant factor n absolute terms, followed by Cash Flow Yeld, Sales to Prce, Book to Prce and fnally Dvdend Yeld. All ndustry relatve measures result n lower absolute levels of sgnfcance and mean returns. All country relatve measure results are comparable to the absolute factor outcomes wth the exceptons of Earnngs Yeld whch s poorer and Sales to Prce whch s superor to ts absolute measure. Ths suggests that absolute value measures may be used for Earnngs Yeld, Book to Prce, Cash Flow Yeld and Dvdend Yeld, whlst a country relatve measure s approprate for Sales to Prce. Throughout the rest of ths document we adopt these measures. Chart dsplays the two year rollng average t-stats through tme for each valuaton factor. The graphc llustrates the sgnfcance of Earnngs Yeld, Cash Flow Yeld and Sales to Prce s relatvely persstent through tme. Although Book to Prce s relatvely stable, post early 2007 t-stats are manly negatve. Dvdend yeld s relatvely unstable and nsgnfcant throughout most of the perod. FTSE Russell Factor exposure ndexes value factor 2

4 Table. Factor Returns and t-stats Factor Absolute Relatve to Industry Relatve to Country Return t-stat Return t-stat Return t-stat Earnngs Yeld 0.24% % % 0.89 Book to Prce 0.6% % % 0.66 Cash Flow Yeld 0.22% % % 0.86 Sales to Prce 0.9% % % 0.93 Dvdend Yeld 0.% % % 0.37 Source FTSE: FTSE Developed, mean, monthly factor return and cross-sectonal t-statstc; March 2000 to December 203. Past performance s no guarantee of future results. Returns shown may reflect hypothetcal hstorcal performance. Please see the dsclamer page for mportant legal dsclosures. Chart. Persstence of Sgnfcance 6 02/ / / / / / / / / / / / / / / / /200 08/200 02/20 24 Month Rollng Average T- Stat 08/20 02/202 08/202 02/203 08/ Earnngs Yeld Book to Prce Cash Flow Yeld Sales to Prce Dvdend Yeld Source FTSE: FTSE Developed, rollng two year average t-statstc; March 2000 to December 203. Past performance s no guarantee of future results. Returns shown may reflect hypothetcal hstorcal performance. Please see the dsclamer page for mportant legal dsclosures. FTSE Russell Factor exposure ndexes value factor 3

5 Chart 2 shows the cumulatve deal factor return for each value factor. The performance of value n general has been flat post September However all factors apart from Dvdend Yeld capture the value rally post the September 2008 global fnancal crss. Chart 2.Cumulatve Factor Returns Cumulatve Return / / /200 09/200 03/ / / / / / / / / / / / / / / / /200 09/200 03/20 09/20 03/202 09/202 03/203 09/203 Earnngs Yeld Book to Prce Cash Flow Yeld Sales to Prce Dvdend Yeld Source FTSE: FTSE Developed; March 2000 to December 203. Past performance s no guarantee of future results. Returns shown may reflect hypothetcal hstorcal performance. Please see the dsclamer page for mportant legal dsclosures. Table 2 shows the correlaton between monthly deal factor returns. ote that Book to Prce, Cash Flow Yeld and Sales to Prce are all strongly postvely correlated to one another. Earnngs Yeld shows a weaker postve correlaton wth all factors, whlst Dvdend Yeld s only notably postvely correlated wth Earnngs Yeld. Table 2. Correlaton of Factor Returns Earnngs Yeld Book to Prce Cash Flow Yeld Sales to Prce Dvdend Yeld Earnngs Yeld Book to Prce Cash Flow Yeld Sales to Prce Dvdend Yeld.00 Source FTSE: FTSE Developed, monthly factor return correlaton; March 2000 to December 203. Past performance s no guarantee of future results. Returns shown may reflect hypothetcal hstorcal performance. Please see the dsclamer page for mportant legal dsclosures. FTSE Russell Factor exposure ndexes value factor 4

6 Table 3 shows the cross-sectonal correlaton of raw value factor characterstcs.e. between the valuaton measures themselves rather than between the factor returns of each valuaton measure. Ths pattern s weaker, but smlar to that observed for factor returns. Table 3. Correlaton of Factor Characterstcs Earnngs Yeld Book to Prce Cash Flow Yeld Sales to Prce Dvdend Yeld Earnngs Yeld Book to Prce Cash Flow Yeld Sales to Prce Dvdend Yeld.00 Source FTSE: FTSE Developed, mean monthly cross-sectonal factor characterstc correlaton; March 2000 to December 203. Past performance s no guarantee of future results. Returns shown may reflect hypothetcal hstorcal performance. Please see the dsclamer page for mportant legal dsclosures. 3. Sngle factor ndexes In ths secton we create factor ndexes premsed on ndvdual value factor characterstcs. We employ the ndex constructon technques set out n Factor Exposure Indexes Index Constructon Methodology, FTSE (204) [7]. Brefly, we map a normalsed valuaton measure (Z-Score) to a score n the range of zero to one usng a cumulatve normal mappng. Ths score s combned wth a stock s weghtng n an underlyng ndex to determne ndvdual stock weghtngs n the value factor ndex. The approach s tantamount to a factor tlt on an underlyng ndex, where the strength (and number) of any tlts and the degree of dversfcaton may be controlled. Smulated performance fgures n the remander of ths document are USD prce returns for the perod May 2000 to December 203, where a monthly rebalance frequency s utlsed for llustratve purposes only. FTSE Russell Factor exposure ndexes value factor 5

7 Table 4 shows the smulated hstorcal performance fgures of ndexes that result from tltng away from an underlyng market captalsaton weghted ndex towards each of the alternatve value measures. We also show the resultng ndex level factor exposure (the weghted sum of ndvdual stock value factor Z-Scores, see Appendx B) relatve to the underlyng unverse and the degree to whch each ndex loads on the deal factor ndex (see appendx A for detals of ths calculaton). Fnally, we assess ndex capacty as measured by the weghted average capacty rato (WCR) and consder the degree of dversfcaton va the average Effectve through tme (see Appendx B for both defntons). Table 4. Performance of Value Factor Indexes: FTSE Developed FTSE Developed Earnngs Yeld Book to Prce Cash Flow Yeld Sales to Prce Dvdend Yeld Geometrc Mean (%) Volatlty (%) Volatlty Reducton (%) Sharpe Rato DD (%) Two Way Turnover (%) Excess (%) Trackng Error (%) Informaton Rato Alpha (%) Alpha T-Stat Beta umber of Stocks Effectve Capacty (WCR) Rel. Factor Exposure Factor Loadng Source FTSE: FTSE Developed; captalsaton weghted underlyng ndex; USD prce returns; May 2000 to December 203. Past performance s no guarantee of future results. Returns shown may reflect hypothetcal hstorcal performance. Please see the dsclamer page for mportant legal dsclosures. Earnngs Yeld, Cash Flow Yeld and Sales to Prce have hstorcally proven superor measures of value to Book to Prce and Dvdend Yeld on most performance measures. However, a Book to Prce value ndex s the most dversfed (measured by Effectve ) and the Dvdend Yeld value ndex exhbts substantally lower levels of two way turnover. All tlted ndexes acheve a smlarly hgh loadng on the relevant deal factor ndex and exhbt substantal exposure to the factor of nterest relatve to the underlyng ndex. Chart 3 shows the smulated hstorcal cumulatve performance for each factor ndex relatve to FTSE Developed through tme. FTSE Russell Factor exposure ndexes value factor 6

8 Table 5 shows the smulated performance fgures for a correspondng set of value ndexes, where the factor tlt s appled to an equally weghted verson of the FTSE Developed ndex. As expected, the capacty of these ndexes s lower than the market captalsaton tlted counterparts, whlst levels of dversfcaton (Effectve ) are superor. Each ndex contnues to exhbt a hgh loadng on the relevant deal factor ndex and a superor factor exposure relatve to the underlyng ndex. The relatve performance of both sets of ndexes s broadly smlar. Relatve performance s the result of the degree of factor exposure rather than underlyng ndex weghtng scheme. Chart 3. Cumulatve Relatve Performance of Value Factor Indexes: FTSE Developed 40 Relatve Cumulatve Performance /2000 / /200 /200 05/2002 / /2003 / /2004 / /2005 / /2006 / /2007 / /2008 / /2009 / /200 /200 05/20 /20 05/202 /202 05/203 /203 Earnngs Yeld Book to Prce Cash Flow Yeld Sales to Prce Dvdend Yeld Source FTSE: FTSE Developed; captalsaton weghted underlyng ndex; USD prce returns; May 2000 to December 203. Past performance s no guarantee of future results. Returns shown may reflect hypothetcal hstorcal performance. Please see the dsclamer page for mportant legal dsclosures. Table 5. Performance of Value Factor Indexes: FTSE Developed Equally Weghted FTSE Developed Earnngs Yeld Book to Prce Cash Flow Yeld Sales to Prce Dvdend Yeld Geometrc Mean (%) Volatlty (%) Volatlty Reducton (%) Sharpe Rato DD (%) Two Way Turnover (%) Excess (%) Trackng Error (%) Informaton Rato Alpha (%) Alpha T-Stat FTSE Russell Factor exposure ndexes value factor 7

9 FTSE Developed Earnngs Yeld Book to Prce Cash Flow Yeld Sales to Prce Dvdend Yeld Beta umber of Stocks Effectve Capacty (WCR) Rel. Factor Exposure Factor Loadng Source FTSE: FTSE Developed; equally weghted underlyng ndex; USD prce returns; May 2000 to December 203. Past performance s no guarantee of future results. Returns shown may reflect hypothetcal hstorcal performance. Please see the dsclamer page for mportant legal dsclosures. 4. Composte value ndexes In ths secton, we create composte value factor ndexes ncorporatng two, three, four and fve of the ndvdual value measures under consderaton. We consder only tlts away from a market captalsaton weghted underlyng ndex. Our results are robust to the use of an equally weghted underlyng ndex. For each composte value ndex, factors are selected on the bass of the most sgnfcant t-stat values n Table 2. All ndvdual valuaton measures are postvely correlated (See Tables 3 and 4). Consequently, we sum ndvdual cross-sectonal Z-Score measures of value to form a composte Z-Score or value metrc. Table 6 shows the smulated hstorcal performance, turnover, dversfcaton, capacty and relatve factor exposure of the ndexes. Table 6. Performance of Composte Value Indexes: FTSE Developed FTSE Developed EY/SP EY/SP/CY EY/SP/CY/BP EY/SP/CY/ BP/DY Geometrc Mean (%) Volatlty (%) Volatlty Reducton (%) Sharpe Rato DD (%) Two Way Turnover (%) Excess (%) Trackng Error (%) Informaton Rato Alpha (%) Alpha T-Stat Beta umber of Stocks Effectve Capacty (WCR) Rel. Factor Exposure Source FTSE: FTSE Developed; captalsaton weghted underlyng ndex; USD prce returns; May 2000 to December 203. Past performance s no guarantee of future results. Returns shown may reflect hypothetcal hstorcal performance. Please see the dsclamer page for mportant legal dsclosures. FTSE Russell Factor exposure ndexes value factor 8

10 As the number of factors decreases, performance metrcs mprove. Ths s the result of creatng composte measures contanng ncreasngly less relevant factors. In partcular the nformaton rato rses monotoncally as the number of factors decrease and s roughly 50% hgher for the two-factor composte than for the fve factor composte ndex. ote also, that turnover falls, but not qute monotoncally, as the number of factors s reduced. We base the choce of factors on whch to form a composte measure of value on the followng consderatons: Book to Prce and Dvdend Yeld hstorcally have a detrmental effect on the performance and turnover of composte value measures. Earnngs Yeld exhbts a relatvely strong correlaton wth Dvdend Yeld, both n terms of factor returns and factor characterstcs. Cash Flow Yeld s relatvely hghly correlated wth Book to Prce n terms of factor returns and factor characterstcs. Ths suggests that Dvdend Yeld and Book to Prce may be gnored, snce Earnngs Yeld and Cash Flow Yeld are relatvely good proxes for them. Consequently, we are left wth a choce between a two or three-factor composte measure of value: In performance, turnover and capacty terms the two-factor composte measure s slghtly superor to the three-factor composte. In dversfcaton and factor exposure terms the three-factor composte measure s slghtly superor to the two-factor composte. Gven ths analyss s very much based n sample and the smlarty of two and three factor composte ndexes n terms of ndex characterstcs, we have a mnor preference for a three-factor constructon. Ths s a cautous choce whch ensures greater factor dversty. Ths choce has the further advantage that our composte factor has a greater orentaton towards factors that are less susceptble to manpulaton (Cash Flow Yeld and Sales to Prce) than to those that are (Earnngs Yeld). The results to date ncorporate monthly ndex rebalances. From a practcal perspectve a lower rebalance frequency s requred. We llustrate that the smulated hstorcal performance characterstcs of our composte three-factor value ndex s ndependent of the rebalance frequency and rebalance cycle. Table 7 reports results for a quarterly rebalance, a sem-annual March and September rebalance, a sem annual June and December rebalance and an annual September rebalance, where the three-factor value tlt s appled to the captalsaton weghted FTSE Developed ndex. Table 7. Performance of Composte Value Index: Rebalance Frequency and Cycle FTSE Developed Monthly Quarterly Sem-Ann Mar & Sep Sem-Ann Jun & Dec Annual Geometrc Mean (%) Volatlty (%) Volatlty Reducton (%) Sharpe Rato DD (%) Two Way Turnover (%) Excess (%) FTSE Russell Factor exposure ndexes value factor 9

11 FTSE Developed Monthly Quarterly Sem-Ann Mar & Sep Sem-Ann Jun & Dec Annual Trackng Error (%) Informaton Rato Alpha (%) Alpha T-Stat Beta umber of Stocks Effectve Capacty (WCR) Rel. Factor Exposure Source FTSE: FTSE Developed; captalsaton weghted underlyng ndex; USD prce returns; May 2000 to December 203. Past performance s no guarantee of future results. Returns shown may reflect hypothetcal hstorcal performance. Please see the dsclamer page for mportant legal dsclosures. All ndex characterstcs, ncludng capacty, dversfcaton levels and the degree of factor exposure are robust to the frequency and tmng of the rebalance. The rebalance frequency has a substantal mpact on turnover. An annual rebalance mnmses turnover; we make the pragmatc decson to rebalance annually n September order to synchronse ndex rebalances wth revews of the underlyng ndex unverse and other factor (Qualty) ndexes. For comparson, an annual September revew appled to the same composte value factor, but from an equally weghted verson of the FTSE Developed results n a mean excess return of.62%p.a., two-way turnover of 5.74% p.a., an average effectve of 459, an average WCR of 0.23 and average factor exposure of arrowng of broad value ndexes The composte value ndexes examned so far are broad, retanng all underlyng ndex consttuent stocks. The aggregate ndex level factor exposure may be mproved, by removng from the broad ndex, stocks wth the smallest contrbuton to ndex level factor exposure. Specfcally, we calculate the factor contrbuton of each stock n the broad ndex (broad value ndex weght * Z-Score). We then sequentally remove stocks wth the smallest factor contrbuton and recalculate the Effectve, capacty and exposure of the resultng ndex. Ths s repeated untl the narrow ndex dversfcaton target (67% of the broad ndex); or the narrow ndex capacty target (WCR 2.5x the broad ndex); or the factor exposure objectve (2x the exposure of the broad ndex relatve to the underlyng) s acheved. As the dversfcaton target s reduced, the resultng narrow ndex becomes ncreasngly concentrated and a greater exposure to the value factor s acheved. At around two thrds of the broad ndex Effectve, we acheve notceable mprovements n factor exposure wthout compromsng the dversfcaton levels exhbted by the ndex. FTSE Russell Factor exposure ndexes value factor 0

12 Table 8 detals the result of applyng ths process to the annually rebalanced broad composte value ndex derved from the captalsaton weghted FTSE Developed Index. Table 8. Performance of a arrow Composte Value Index FTSE Developed Broad arrow Geometrc Mean (%) Volatlty (%) Volatlty Reducton (%) Sharpe Rato DD (%) Two Way Turnover (%) Excess (%) Trackng Error (%) Informaton Rato Alpha (%) Alpha T-Stat Beta umber of Stocks Effectve Capacty (WCR) Rel. Factor Exposure Source FTSE: FTSE Developed; captalsaton weghted underlyng ndex; USD prce returns; May 2000 to December 203. Past performance s no guarantee of future results. Returns shown may reflect hypothetcal hstorcal performance. Please see the dsclamer page for mportant legal dsclosures. The resultng number of stocks n the narrow ndex s on average approxmately 7% of the FTSE Developed ndex, but the dversfcaton and capacty constrants are satsfed. The narrow ndex dsplays substantally greater levels of exposure to the composte value factor, resultng n an ncrease n the factor premum, as measured by excess return. However, there s a correspondng ncrease n turnover. A comparson of Tables 7 and 8 ndcates that a narrow composte value ndex rebalanced annually exhbts almost double the levels of factor exposure (and value premum) compared to broad ndexes that are rebalanced more frequently. Turnover levels of the narrow, annually rebalanced ndex are comparable or lower to broad ndexes rebalanced more frequently. Chart 4 shows the composte value factor exposure through tme for the FTSE Developed, annually rebalanced broad and narrow composte value ndexes and a monthly rebalanced narrow ndex. The monthly rebalance provdes an ndcaton of the upper lmt to value exposure that s achevable. Chart 4 ndcates that there s lttle justfcaton for more frequent rebalances n order to mantan the value exposure of the ndex. We therefore conclude that an annually rebalanced narrow ndex s approprate. FTSE Russell Factor exposure ndexes value factor

13 To ensure the results are robust to the tmng of the annual rebalance, we examne the outcomes of annual rebalances that follow dfferent rebalance cycles (January to January, February to February, etc). Chart 5 confrms that smulated rsk adjusted performance outcomes.e. Sharpe Ratos and Two-Way Turnover outcomes are nsenstve to the tmng of the annual rebalance. Chart 4. FTSE Developed Value Exposure through Tme Value Exposure / /2000 0/200 06/200 /200 04/ / / /2003 2/ /2004 0/ / /2005 0/ /2006 / / / / /2008 2/ /2009 0/ /200 08/200 0/20 06/20 /20 04/202 09/202 02/203 07/203 2/203 FTSE Developed Broad arrow (Annually) arrow (Monthly) Source FTSE: FTSE Developed captalsaton weghted underlyng ndex; March 2000 to December 203. Past performance s no guarantee of future results. Returns shown may reflect hypothetcal hstorcal performance. Please see the dsclamer page for mportant legal dsclosures. Chart 5. FTSE Developed; Annual Rebalance Cycle, Sharpe Rato and Two-Way Turnover Sharpe Rato Two-Way Turnover (%) Jan Feb Mar Apr May Jun Jul Aug Sep Oct ov Dec 40 Sharpe Rato Two-Way Turnover Source FTSE: FTSE Developed; captalsaton weghted underlyng ndex; annual rebalance n dfferent months; May 2000 to December 203. Past performance s no guarantee of future results. Returns shown may reflect hypothetcal hstorcal performance. Please see the dsclamer page for mportant legal dsclosures. FTSE Russell Factor exposure ndexes value factor 2

14 Chart 6 shows the smulated hstorcal performance through tme for the FTSE Developed and broad and narrow composte value ndexes. Chart 6. FTSE Developed: Cumulatve Performance, Broad and arrow Value Indexes Cumulatve Performance /2000 / /200 /200 05/2002 / /2003 / /2004 / /2005 / /2006 / /2007 / /2008 / /2009 / /200 /200 05/20 /20 05/202 /202 05/203 /203 FTSE Developed Broad arrow Source FTSE: FTSE Developed; captalsaton weghted underlyng ndex; USD prce returns; May 2000 to December 203. Past performance s no guarantee of future results. Returns shown may reflect hypothetcal hstorcal performance. Please see the dsclamer page for mportant legal dsclosures. 6. Conclusons We examne fve common measures of value (Earnngs Yeld, Book to Prce, Cash Flow Yeld Sales to Prce and Dvdend Yeld); rejectng two and usng three to create a smple composte value factor. The composte measure conssts of an equally weghted combnaton of absolute measures of Earnngs Yeld and Cash Flow Yeld and a country relatve measure of Sales to Prce. Over the perod May 2000 to December 203 broad value ndexes were constructed by applyng a composte value tlt to both a captalsaton weghted and equally weghted versons of the FTSE Developed ndex. A broad value factor ndex rebalanced annually n September results n: A value premum of approxmately.9% p.a. (.6% p.a. equal weght). Sgnfcant and persstent value exposure relatve to the underlyng ndex. Comparable levels of dversfcaton to the underlyng ndex. Index capacty of 74% (67% equal weght) of the underlyng ndex. Approxmate annual two-way turnover of 29% p.a. (52% p.a. equal weght). Subsequently, we form a narrow value ndex and acheve ncreased levels of exposure to the composte value factor: A value premum of approxmately 3.5% p.a. (captalsaton weghted). 77% mprovement n factor exposure compared to the broad ndex. Dversfcaton levels of 69% of the broad ndex. Index capacty of 56% of the broad ndex. Annual two-way turnover of 48% p.a. FTSE Russell Factor exposure ndexes value factor 3

15 Appendx A. Regresson Analyss Cross-sectonal Regresson Consder the cross-sectonal regresson: J R = α + δ β + e f + ε j j j= k= K k k where R s the return of the th of stocks, e k s the exposure of the th stock to k th of K factors, δ j s ndustry (country) exposure of the th stock to j th of J ndustres (countres), wth δ = j 0 f f j j and α s an ntercept, β j s the factor return of j th ndustry (country), f k s the factor return of k th factor and ε s the resdual. For each stock the ndustry exposures J meet the condton: δ = whch acts as a constrant on our regresson. Ths s j= j ncorporated n the followng way. Let Rˆ be the return predcted by the model and W be some weghtng scheme for stocks wth w =. Then employng a weghted regresson through mnmzaton = 2 of ( ) mples that w R Rˆ = wr = = = wrˆ Further we can explot freedom to set α = wr. Takng the weghted sum of both = sdes of our regresson and smplfyng now yelds: J w δ β + w ef = 0 j j = j= = k= Reversng sums gves J wˆ β + f we = 0 j k j= k= = K k K k k where ŵ j s the weght n the j th sector. Ths last equaton s solved by settng: we = 0 and ŵ 0 k β = j j = J j= The frst of these equatons can be satsfed redefnng the factor exposure by normalsaton thus: eˆ = ( e µ )/ σ where µ = we k k k k k = k and σ = w ( e 2 2 k = k µ) k. Each normalsed factor exposure has mean zero and standard devaton of one. The second equaton can be satsfed by wrtng the return to ndustry (country) one as: β = wˆ J ˆ j j= 2 w β j FTSE Russell Factor exposure ndexes value factor 4

16 or equvalently by defnng a new exposure to ndustry operator: δˆ j = wˆ / wˆ f and j δ j 0 f and j j f = Factor and sector returns are calculated from actual returns R, new exposure functon to ndustres (countres), δˆ j and normalsed exposures to factors ê k, n the usual way. Ideal Factor Indexes and Factor Loadngs We defne the returns to an deal factor ndex X as the set of monthly factor returns f t X obtaned through the cross-sectonal regresson when we gnore ndustres (countres), retan the market ntercept and choose our value factor as a sngle factor. For a gven ndex wth monthly excess returns R t, the factor loadng F of that ndex on the th factor, s gven by tme seres regresson: R = α + F * f + ε t t where a s the ntercept and ε s the resdual. FTSE Russell Factor exposure ndexes value factor 5

17 Appendx B. Capacty, Dversfcaton and Factor Exposure Capacty Let ŵ be the weghts of the ndex for whch we are computng capacty and W the weghts of the underlyng Market Captalsaton weghted ndex. Then the weghted capacty rato (WCR) s gven by: WCR = w ˆ * wˆ w = Ths rato s bounded below by one and the larger the value, the poorer the capacty. Let M be the market captalsaton of th stock. Then the weghted average market captalsaton rato (WAMCR) s gven by: Wˆ M = * WAMCR = M W * M = Ths rato s bounded below by zero and the larger ts value, the better the capacty. Both defntons maybe used to assess the capacty of an ndex although we prefer WCR as t does not suffer from the defcency of mplyng that an ndex consstng of one stock wth market captalsaton M has the same capacty as an ndex of stocks each wth market captalsaton M. Dversfcaton The dversfcaton measure used n ths document s: Effectve = M = Wˆ 2 where Effectve s the effectve number of stocks n the ndex, M the actual number of stocks and ŵ the weght of th stock n the ndex. Factor Exposure The Factor Exposure of an ndex s defned to be: = Factor Exposure Wˆ * Z = where ŵ are the weghts of the ndex and Z s the cross-sectonal factor Z-Score. FTSE Russell Factor exposure ndexes value factor 6

18 References. Asness, C.S., Moskowtz T.J., and Pedersen L.H. Value and Momentum Everywhere, Journal of Fnance, v. 68, June 203, pp Basu, S., Investment Performance of Common Stocks n Relaton to ther Prce-Earnngs Ratos: A Test of the Effcent Market Hypothess, Journal of Fnance, v. 3, June 977, pp Danel, K. and Ttman, S., Evdence on the Characterstcs of Cross Sectonal Varaton n Stock Returns, Journal of Fnance, v. 52, March 997, pp Fama, E. F., and French, K.R. The Cross-Secton of Expected Stock Returns, Journal of Fnance, v. 47, June 992, pp Fama, E. F., and French, K.R. Common Rsk Factors n the Returns on Bonds and Stocks, Journal of Fnancal Economcs, v. 33, February 993, pp Fama, E. F., and French, K.R. Sze and Book-to-Market Factor n Earnngs and Returns, Journal of Fnance, v. 50, 995, pp Factor Exposure Indexes Index Constructon Methodology, FTSE (204) FTSE Russell Factor exposure ndexes value factor 7

19 For more nformaton about our ndexes, please vst ftserussell.com. 205 London Stock Exchange Group companes. London Stock Exchange Group companes ncludes FTSE Internatonal Lmted ( FTSE ), Frank Russell Company ( Russell ), MTS ext Lmted ( MTS ), and FTSE TMX Global Debt Captal Markets Inc ( FTSE TMX ). All rghts reserved. FTSE, Russell, MTS, FTSE TMX and FTSE Russell and other servce marks and trademarks related to the FTSE or Russell ndexes are trademarks of the London Stock Exchange Group companes and are used by FTSE, MTS, FTSE TMX and Russell under lcence. All nformaton s provded for nformaton purposes only. Every effort s made to ensure that all nformaton gven n ths publcaton s accurate, but no responsblty or lablty can be accepted by the London Stock Exchange Group companes nor ts lcensors for any errors or for any loss from use of ths publcaton. ether the London Stock Exchange Group companes nor any of ther lcensors make any clam, predcton, warranty or representaton whatsoever, expressly or mpledly, ether as to the results to be obtaned from the use of the FTSE Russell Indexes or the ftness or sutablty of the Indexes for any partcular purpose to whch they mght be put. The London Stock Exchange Group companes do not provde nvestment advce and nothng n ths document should be taken as consttutng fnancal or nvestment advce. The London Stock Exchange Group companes make no representaton regardng the advsablty of nvestng n any asset. A decson to nvest n any such asset should not be made n relance on any nformaton heren. Indexes cannot be nvested n drectly. Incluson of an asset n an ndex s not a recommendaton to buy, sell or hold that asset. The general nformaton contaned n ths publcaton should not be acted upon wthout obtanng specfc legal, tax, and nvestment advce from a lcensed professonal. o part of ths nformaton may be reproduced, stored n a retreval system or transmtted n any form or by any means, electronc, mechancal, photocopyng, recordng or otherwse, wthout pror wrtten permsson of the London Stock Exchange Group companes. Dstrbuton of the London Stock Exchange Group companes ndex values and the use of ther ndexes to create fnancal products requre a lcence wth FTSE, FTSE TMX, MTS and/or Russell and/or ts lcensors. The Industry Classfcaton Benchmark ( ICB ) s owned by FTSE. FTSE does not accept any lablty to any person for any loss or damage arsng out of any error or omsson n the ICB. Past performance s no guarantee of future results. Charts and graphs are provded for llustratve purposes only. Index returns shown may not represent the results of the actual tradng of nvestable assets. Certan returns shown may reflect back-tested performance. All performance presented pror to the ndex ncepton date s back-tested performance. Back-tested performance s not actual performance, but s hypothetcal. The back-test calculatons are based on the same methodology that was n effect when the ndex was offcally launched. However, back-tested data may reflect the applcaton of the ndex methodology wth the beneft of hndsght, and the hstorc calculatons of an ndex may change from month to month based on revsons to the underlyng economc data used n the calculaton of the ndex. FTSE Russell 8

20 About FTSE Russell FTSE Russell s a leadng global provder of benchmarkng, analytcs and data solutons for nvestors, gvng them a precse vew of the market relevant to ther nvestment process. A comprehensve range of relable and accurate ndexes provdes nvestors worldwde wth the tools they requre to measure and benchmark markets across asset classes, styles or strateges. FTSE Russell ndex expertse and products are used extensvely by nsttutonal and retal nvestors globally. For over 30 years, leadng asset owners, asset managers, ETF provders and nvestment banks have chosen FTSE Russell ndexes to benchmark ther nvestment performance and create ETFs, structured products and ndex-based dervatves. FTSE Russell s focused on applyng the hghest ndustry standards n ndex desgn and governance, employng transparent rules-based methodology nformed by ndependent commttees of leadng market partcpants. FTSE Russell fully embraces the IOSCO Prncples and ts Statement of Complance has receved ndependent assurance. Index nnovaton s drven by clent needs and customer partnershps, allowng FTSE Russell to contnually enhance the breadth, depth and reach of ts offerng. FTSE Russell s wholly owned by London Stock Exchange Group. For more nformaton, vst To learn more, vst emal ndex@russell.com, nfo@ftse.com; or call your regonal Clent Servce Team offce: EMEA +44 (0) orth Amerca Asa-Pacfc Hong Kong Tokyo Sydney +6 (0) FTSE Russell

REFINITIV INDICES PRIVATE EQUITY BUYOUT INDEX METHODOLOGY

REFINITIV INDICES PRIVATE EQUITY BUYOUT INDEX METHODOLOGY REFINITIV INDICES PRIVATE EQUITY BUYOUT INDEX METHODOLOGY 1 Table of Contents INTRODUCTION 3 TR Prvate Equty Buyout Index 3 INDEX COMPOSITION 3 Sector Portfolos 4 Sector Weghtng 5 Index Rebalance 5 Index

More information

Ground Rules. FTSE TMX Canada Floating Rate Note (FRN) Index v2.0

Ground Rules. FTSE TMX Canada Floating Rate Note (FRN) Index v2.0 Ground Rules FTSE TMX Canada Floatng Rate Note (FRN) Index v2.0 ftserussell.com January 2018 Contents 1.0 2.0 3.0 4.0 5.0 6.0 Introducton... 3 Management Responsbltes... 5 FTSE Russell Index Polces...

More information

Mutual Funds and Management Styles. Active Portfolio Management

Mutual Funds and Management Styles. Active Portfolio Management utual Funds and anagement Styles ctve Portfolo anagement ctve Portfolo anagement What s actve portfolo management? How can we measure the contrbuton of actve portfolo management? We start out wth the CP

More information

Evaluating Performance

Evaluating Performance 5 Chapter Evaluatng Performance In Ths Chapter Dollar-Weghted Rate of Return Tme-Weghted Rate of Return Income Rate of Return Prncpal Rate of Return Daly Returns MPT Statstcs 5- Measurng Rates of Return

More information

Ground Rules. FTSE Global Wealth Allocation (GWA) Index Series v2.8

Ground Rules. FTSE Global Wealth Allocation (GWA) Index Series v2.8 Ground Rules FTSE Global Wealth Allocaton (GWA) Index Seres v2.8 ftserussell.com January 2018 Contents 1.0 Introducton... 3 2.0 Management Responsbltes... 5 3.0 FTSE Russell Index Polces... 7 4.0 Elgble

More information

Tests for Two Correlations

Tests for Two Correlations PASS Sample Sze Software Chapter 805 Tests for Two Correlatons Introducton The correlaton coeffcent (or correlaton), ρ, s a popular parameter for descrbng the strength of the assocaton between two varables.

More information

THE VOLATILITY OF EQUITY MUTUAL FUND RETURNS

THE VOLATILITY OF EQUITY MUTUAL FUND RETURNS North Amercan Journal of Fnance and Bankng Research Vol. 4. No. 4. 010. THE VOLATILITY OF EQUITY MUTUAL FUND RETURNS Central Connectcut State Unversty, USA. E-mal: BelloZ@mal.ccsu.edu ABSTRACT I nvestgated

More information

S&P GSCI Risk Weight Methodology Supplement

S&P GSCI Risk Weight Methodology Supplement S&P GSCI Rsk Weght Methodology Supplement S&P Dow Jones Indces: Index Methodology December 2017 S&P GSCI Rsk Weght The S&P GSCI Rsk Weght s an ndex that takes nto account the contrbuton of each commodty

More information

Tests for Two Ordered Categorical Variables

Tests for Two Ordered Categorical Variables Chapter 253 Tests for Two Ordered Categorcal Varables Introducton Ths module computes power and sample sze for tests of ordered categorcal data such as Lkert scale data. Assumng proportonal odds, such

More information

ISE High Income Index Methodology

ISE High Income Index Methodology ISE Hgh Income Index Methodology Index Descrpton The ISE Hgh Income Index s desgned to track the returns and ncome of the top 30 U.S lsted Closed-End Funds. Index Calculaton The ISE Hgh Income Index s

More information

Clearing Notice SIX x-clear Ltd

Clearing Notice SIX x-clear Ltd Clearng Notce SIX x-clear Ltd 1.0 Overvew Changes to margn and default fund model arrangements SIX x-clear ( x-clear ) s closely montorng the CCP envronment n Europe as well as the needs of ts Members.

More information

Teaching Note on Factor Model with a View --- A tutorial. This version: May 15, Prepared by Zhi Da *

Teaching Note on Factor Model with a View --- A tutorial. This version: May 15, Prepared by Zhi Da * Copyrght by Zh Da and Rav Jagannathan Teachng Note on For Model th a Ve --- A tutoral Ths verson: May 5, 2005 Prepared by Zh Da * Ths tutoral demonstrates ho to ncorporate economc ves n optmal asset allocaton

More information

Chapter 10 Making Choices: The Method, MARR, and Multiple Attributes

Chapter 10 Making Choices: The Method, MARR, and Multiple Attributes Chapter 0 Makng Choces: The Method, MARR, and Multple Attrbutes INEN 303 Sergy Butenko Industral & Systems Engneerng Texas A&M Unversty Comparng Mutually Exclusve Alternatves by Dfferent Evaluaton Methods

More information

Construction Rules for Morningstar Canada Dividend Target 30 Index TM

Construction Rules for Morningstar Canada Dividend Target 30 Index TM Constructon Rules for Mornngstar Canada Dvdend Target 0 Index TM Mornngstar Methodology Paper January 2012 2011 Mornngstar, Inc. All rghts reserved. The nformaton n ths document s the property of Mornngstar,

More information

Highlights of the Macroprudential Report for June 2018

Highlights of the Macroprudential Report for June 2018 Hghlghts of the Macroprudental Report for June 2018 October 2018 FINANCIAL STABILITY DEPARTMENT Preface Bank of Jamaca frequently conducts assessments of the reslence and strength of the fnancal system.

More information

Term Sheet CORE INFRA PORTFOLIO

Term Sheet CORE INFRA PORTFOLIO Term Sheet CORE INFRA PORTFOLIO HIGHLIGHTS/ SUMMARY OF THE PRODUCT Product Name Objectve Investment Horzon Underlyng Asset class Instruments Usage of Dervatves Rsk Sutablty Defned Tenure Repayment Benchmark

More information

MgtOp 215 Chapter 13 Dr. Ahn

MgtOp 215 Chapter 13 Dr. Ahn MgtOp 5 Chapter 3 Dr Ahn Consder two random varables X and Y wth,,, In order to study the relatonshp between the two random varables, we need a numercal measure that descrbes the relatonshp The covarance

More information

Final Exam. 7. (10 points) Please state whether each of the following statements is true or false. No explanation needed.

Final Exam. 7. (10 points) Please state whether each of the following statements is true or false. No explanation needed. Fnal Exam Fall 4 Econ 8-67 Closed Book. Formula Sheet Provded. Calculators OK. Tme Allowed: hours Please wrte your answers on the page below each queston. (5 ponts) Assume that the rsk-free nterest rate

More information

Fiera Capital s CIA Accounting Discount Rate Curve Implementation Note. Fiera Capital Corporation

Fiera Capital s CIA Accounting Discount Rate Curve Implementation Note. Fiera Capital Corporation Fera aptal s IA Accountng Dscount Rate urve Implementaton Note Fera aptal orporaton November 2016 Ths document s provded for your prvate use and for nformaton purposes only as of the date ndcated heren

More information

Product Disclosure Statement

Product Disclosure Statement Dow Australa Superannuaton Fund Product Dsclosure Statement Spouse members PDS Verson 8, ISSUED: 30 September 2017 Insde 1 About the Dow Australa Superannuaton Fund 2 How super works 3 Benefts of nvestng

More information

MSCI GLOBAL LOW CARBON TARGET INDEXES METHODOLOGY

MSCI GLOBAL LOW CARBON TARGET INDEXES METHODOLOGY INDEX METHODOLOGY MSCI GLOBAL LOW CARBON TARGET INDEXES METHODOLOGY September 2014 SEPTEMBER 2014 CONTENTS 1 Introducton... 3 2 Characterstcs of MSCI Global Low Carbon Target Indexes... 4 3 Constructng

More information

Investment Management Active Portfolio Management

Investment Management Active Portfolio Management Investment Management Actve Portfolo Management Road Map The Effcent Markets Hypothess (EMH) and beatng the market Actve portfolo management Market tmng Securty selecton Securty selecton: Treynor&Black

More information

Risk Reduction and Real Estate Portfolio Size

Risk Reduction and Real Estate Portfolio Size Rsk Reducton and Real Estate Portfolo Sze Stephen L. Lee and Peter J. Byrne Department of Land Management and Development, The Unversty of Readng, Whteknghts, Readng, RG6 6AW, UK. A Paper Presented at

More information

Lecture Note 2 Time Value of Money

Lecture Note 2 Time Value of Money Seg250 Management Prncples for Engneerng Managers Lecture ote 2 Tme Value of Money Department of Systems Engneerng and Engneerng Management The Chnese Unversty of Hong Kong Interest: The Cost of Money

More information

Construction Rules for Morningstar Canada Dividend Target 30 Index TM

Construction Rules for Morningstar Canada Dividend Target 30 Index TM Constructon Rules for Mornngstar Canada Dvdend Target 0 Index TM Mornngstar Methodology Paper January 2012 2011 Mornngstar, Inc. All rghts reserved. The nformaton n ths document s the property of Mornngstar,

More information

Risk and Return: The Security Markets Line

Risk and Return: The Security Markets Line FIN 614 Rsk and Return 3: Markets Professor Robert B.H. Hauswald Kogod School of Busness, AU 1/25/2011 Rsk and Return: Markets Robert B.H. Hauswald 1 Rsk and Return: The Securty Markets Lne From securtes

More information

Module Contact: Dr P Moffatt, ECO Copyright of the University of East Anglia Version 2

Module Contact: Dr P Moffatt, ECO Copyright of the University of East Anglia Version 2 UNIVERSITY OF EAST ANGLIA School of Economcs Man Seres PG Examnaton 2012-13 FINANCIAL ECONOMETRICS ECO-M017 Tme allowed: 2 hours Answer ALL FOUR questons. Queston 1 carres a weght of 25%; Queston 2 carres

More information

Asset Management. Country Allocation and Mutual Fund Returns

Asset Management. Country Allocation and Mutual Fund Returns Country Allocaton and Mutual Fund Returns By Dr. Lela Heckman, Senor Managng Drector and Dr. John Mulln, Managng Drector Bear Stearns Asset Management Bear Stearns Actve Country Equty Executve Summary

More information

4. Greek Letters, Value-at-Risk

4. Greek Letters, Value-at-Risk 4 Greek Letters, Value-at-Rsk 4 Value-at-Rsk (Hull s, Chapter 8) Math443 W08, HM Zhu Outlne (Hull, Chap 8) What s Value at Rsk (VaR)? Hstorcal smulatons Monte Carlo smulatons Model based approach Varance-covarance

More information

Financial Risk Management in Portfolio Optimization with Lower Partial Moment

Financial Risk Management in Portfolio Optimization with Lower Partial Moment Amercan Journal of Busness and Socety Vol., o., 26, pp. 2-2 http://www.ascence.org/journal/ajbs Fnancal Rsk Management n Portfolo Optmzaton wth Lower Partal Moment Lam Weng Sew, 2, *, Lam Weng Hoe, 2 Department

More information

Construction Rules for Morningstar Canada Momentum Index SM

Construction Rules for Morningstar Canada Momentum Index SM Constructon Rules for Mornngstar Canada Momentum Index SM Mornngstar Methodology Paper January 2012 2012 Mornngstar, Inc. All rghts reserved. The nformaton n ths document s the property of Mornngstar,

More information

FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS. Richard M. Levich. New York University Stern School of Business. Revised, February 1999

FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS. Richard M. Levich. New York University Stern School of Business. Revised, February 1999 FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS by Rchard M. Levch New York Unversty Stern School of Busness Revsed, February 1999 1 SETTING UP THE PROBLEM The bond s beng sold to Swss nvestors for a prce

More information

Monetary Tightening Cycles and the Predictability of Economic Activity. by Tobias Adrian and Arturo Estrella * October 2006.

Monetary Tightening Cycles and the Predictability of Economic Activity. by Tobias Adrian and Arturo Estrella * October 2006. Monetary Tghtenng Cycles and the Predctablty of Economc Actvty by Tobas Adran and Arturo Estrella * October 2006 Abstract Ten out of thrteen monetary tghtenng cycles snce 1955 were followed by ncreases

More information

Finance 402: Problem Set 1 Solutions

Finance 402: Problem Set 1 Solutions Fnance 402: Problem Set 1 Solutons Note: Where approprate, the fnal answer for each problem s gven n bold talcs for those not nterested n the dscusson of the soluton. 1. The annual coupon rate s 6%. A

More information

Principles of Finance

Principles of Finance Prncples of Fnance Grzegorz Trojanowsk Lecture 6: Captal Asset Prcng Model Prncples of Fnance - Lecture 6 1 Lecture 6 materal Requred readng: Elton et al., Chapters 13, 14, and 15 Supplementary readng:

More information

Notes are not permitted in this examination. Do not turn over until you are told to do so by the Invigilator.

Notes are not permitted in this examination. Do not turn over until you are told to do so by the Invigilator. UNIVERSITY OF EAST ANGLIA School of Economcs Man Seres PG Examnaton 2016-17 BANKING ECONOMETRICS ECO-7014A Tme allowed: 2 HOURS Answer ALL FOUR questons. Queston 1 carres a weght of 30%; queston 2 carres

More information

Midterm Exam. Use the end of month price data for the S&P 500 index in the table below to answer the following questions.

Midterm Exam. Use the end of month price data for the S&P 500 index in the table below to answer the following questions. Unversty of Washngton Summer 2001 Department of Economcs Erc Zvot Economcs 483 Mdterm Exam Ths s a closed book and closed note exam. However, you are allowed one page of handwrtten notes. Answer all questons

More information

FM303. CHAPTERS COVERED : CHAPTERS 5, 8 and 9. LEARNER GUIDE : UNITS 1, 2 and 3.1 to 3.3. DUE DATE : 3:00 p.m. 19 MARCH 2013

FM303. CHAPTERS COVERED : CHAPTERS 5, 8 and 9. LEARNER GUIDE : UNITS 1, 2 and 3.1 to 3.3. DUE DATE : 3:00 p.m. 19 MARCH 2013 Page 1 of 11 ASSIGNMENT 1 ST SEMESTER : FINANCIAL MANAGEMENT 3 () CHAPTERS COVERED : CHAPTERS 5, 8 and 9 LEARNER GUIDE : UNITS 1, 2 and 3.1 to 3.3 DUE DATE : 3:00 p.m. 19 MARCH 2013 TOTAL MARKS : 100 INSTRUCTIONS

More information

THOMSON REUTERS/CORECOMMODITY CRB NON-ENERGY INDEX CALCULATION SUPPLEMENT

THOMSON REUTERS/CORECOMMODITY CRB NON-ENERGY INDEX CALCULATION SUPPLEMENT 1 THOMSON REUTERS/CORECOMMODITY CRB NON-ENERGY INDEX CALCULATION SUPPLEMENT Introducton Ths supplement contans the rules for calculatng the Thomson Reuters/CoreCommodty CRB Non-Energy Index. Ths supplement

More information

ISE Cloud Computing Index Methodology

ISE Cloud Computing Index Methodology ISE Cloud Computng Index Methodology Index Descrpton The ISE Cloud Computng Index s desgned to track the performance of companes nvolved n the cloud computng ndustry. Index Calculaton The ISE Cloud Computng

More information

Money, Banking, and Financial Markets (Econ 353) Midterm Examination I June 27, Name Univ. Id #

Money, Banking, and Financial Markets (Econ 353) Midterm Examination I June 27, Name Univ. Id # Money, Bankng, and Fnancal Markets (Econ 353) Mdterm Examnaton I June 27, 2005 Name Unv. Id # Note: Each multple-choce queston s worth 4 ponts. Problems 20, 21, and 22 carry 10, 8, and 10 ponts, respectvely.

More information

Elton, Gruber, Brown, and Goetzmann. Modern Portfolio Theory and Investment Analysis, 7th Edition. Solutions to Text Problems: Chapter 9

Elton, Gruber, Brown, and Goetzmann. Modern Portfolio Theory and Investment Analysis, 7th Edition. Solutions to Text Problems: Chapter 9 Elton, Gruber, Brown, and Goetzmann Modern Portfolo Theory and Investment Analyss, 7th Edton Solutons to Text Problems: Chapter 9 Chapter 9: Problem In the table below, gven that the rskless rate equals

More information

occurrence of a larger storm than our culvert or bridge is barely capable of handling? (what is The main question is: What is the possibility of

occurrence of a larger storm than our culvert or bridge is barely capable of handling? (what is The main question is: What is the possibility of Module 8: Probablty and Statstcal Methods n Water Resources Engneerng Bob Ptt Unversty of Alabama Tuscaloosa, AL Flow data are avalable from numerous USGS operated flow recordng statons. Data s usually

More information

Appendix - Normally Distributed Admissible Choices are Optimal

Appendix - Normally Distributed Admissible Choices are Optimal Appendx - Normally Dstrbuted Admssble Choces are Optmal James N. Bodurtha, Jr. McDonough School of Busness Georgetown Unversty and Q Shen Stafford Partners Aprl 994 latest revson September 00 Abstract

More information

IND E 250 Final Exam Solutions June 8, Section A. Multiple choice and simple computation. [5 points each] (Version A)

IND E 250 Final Exam Solutions June 8, Section A. Multiple choice and simple computation. [5 points each] (Version A) IND E 20 Fnal Exam Solutons June 8, 2006 Secton A. Multple choce and smple computaton. [ ponts each] (Verson A) (-) Four ndependent projects, each wth rsk free cash flows, have the followng B/C ratos:

More information

To Rebalance or Not to Rebalance? Edward Qian, PhD, CFA PanAgora Asset Management

To Rebalance or Not to Rebalance? Edward Qian, PhD, CFA PanAgora Asset Management To Rebalance or Not to Rebalance? Edward Qan, PhD, CFA PanAgora Asset anagement To Rebalance or Not to Rebalance It s not THE QUESTION but a very mportant one»to rebalance fxed-weght (FW); Not to Buy and

More information

Problem Set 6 Finance 1,

Problem Set 6 Finance 1, Carnege Mellon Unversty Graduate School of Industral Admnstraton Chrs Telmer Wnter 2006 Problem Set 6 Fnance, 47-720. (representatve agent constructon) Consder the followng two-perod, two-agent economy.

More information

ISyE 512 Chapter 9. CUSUM and EWMA Control Charts. Instructor: Prof. Kaibo Liu. Department of Industrial and Systems Engineering UW-Madison

ISyE 512 Chapter 9. CUSUM and EWMA Control Charts. Instructor: Prof. Kaibo Liu. Department of Industrial and Systems Engineering UW-Madison ISyE 512 hapter 9 USUM and EWMA ontrol harts Instructor: Prof. Kabo Lu Department of Industral and Systems Engneerng UW-Madson Emal: klu8@wsc.edu Offce: Room 317 (Mechancal Engneerng Buldng) ISyE 512 Instructor:

More information

On the Style Switching Behavior of Mutual Fund Managers

On the Style Switching Behavior of Mutual Fund Managers On the Style Swtchng Behavor of Mutual Fund Managers Bart Frjns Auckland Unversty of Technology, Auckland, New Zealand Auckland Centre for Fnancal Research Aaron Glbert Auckland Unversty of Technology,

More information

Risk, return and stock performance measures

Risk, return and stock performance measures Rsk, return and stock performance measures MIRELA MOMCILOVIC Hgher School of Professonal Busness Studes Vladmra Perca-Valtera 4, Nov Sad bznscentar@gmal.com http://www.vps.ns.ac.rs/sr/nastavnk.1.30.html?sn=237

More information

Trivial lump sum R5.1

Trivial lump sum R5.1 Trval lump sum R5.1 Optons form Once you have flled n ths form, please return t wth the documents we have requested. You can ether post or emal the form and the documents to us. Premer PO Box 108 BLYTH

More information

Raising Food Prices and Welfare Change: A Simple Calibration. Xiaohua Yu

Raising Food Prices and Welfare Change: A Simple Calibration. Xiaohua Yu Rasng Food Prces and Welfare Change: A Smple Calbraton Xaohua Yu Professor of Agrcultural Economcs Courant Research Centre Poverty, Equty and Growth Unversty of Göttngen CRC-PEG, Wlhelm-weber-Str. 2 3773

More information

TRADING RULES IN HOUSING MARKETS WHAT CAN WE LEARN? GREG COSTELLO Curtin University of Technology

TRADING RULES IN HOUSING MARKETS WHAT CAN WE LEARN? GREG COSTELLO Curtin University of Technology ABSTRACT TRADING RULES IN HOUSING MARKETS WHAT CAN WE LEARN? GREG COSTELLO Curtn Unversty of Technology Ths paper examnes the applcaton of tradng rules n testng nformatonal effcency n housng markets. The

More information

Least Cost Strategies for Complying with New NOx Emissions Limits

Least Cost Strategies for Complying with New NOx Emissions Limits Least Cost Strateges for Complyng wth New NOx Emssons Lmts Internatonal Assocaton for Energy Economcs New England Chapter Presented by Assef A. Zoban Tabors Caramans & Assocates Cambrdge, MA 02138 January

More information

CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS

CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS QUESTIONS 9.1. (a) In a log-log model the dependent and all explanatory varables are n the logarthmc form. (b) In the log-ln model the dependent varable

More information

FTSE Diversified Factor Indexes

FTSE Diversified Factor Indexes Product overview FTSE Diversified Factor Indexes Introduction The FTSE Diversified Factor Indexes are designed to evenly distribute risk across regions and industries, and provide exposure to securities

More information

MSCI GLOBAL INVESTABLE MARKET VALUE AND GROWTH INDEX METHODOLOGY

MSCI GLOBAL INVESTABLE MARKET VALUE AND GROWTH INDEX METHODOLOGY INDEX METHODOLOGY MSCI GLOBAL INVESTABLE MARKET VALUE AND GROWTH INDEX METHODOLOGY September 2017 SEPTEMBER 2017 CONTENTS 1 MSCI Global Investable Market Value and Growth Indexes Methodology Overvew...

More information

Which of the following provides the most reasonable approximation to the least squares regression line? (a) y=50+10x (b) Y=50+x (d) Y=1+50x

Which of the following provides the most reasonable approximation to the least squares regression line? (a) y=50+10x (b) Y=50+x (d) Y=1+50x Whch of the followng provdes the most reasonable approxmaton to the least squares regresson lne? (a) y=50+10x (b) Y=50+x (c) Y=10+50x (d) Y=1+50x (e) Y=10+x In smple lnear regresson the model that s begn

More information

Survey of Math: Chapter 22: Consumer Finance Borrowing Page 1

Survey of Math: Chapter 22: Consumer Finance Borrowing Page 1 Survey of Math: Chapter 22: Consumer Fnance Borrowng Page 1 APR and EAR Borrowng s savng looked at from a dfferent perspectve. The dea of smple nterest and compound nterest stll apply. A new term s the

More information

SYSTEMATIC LIQUIDITY, CHARACTERISTIC LIQUIDITY AND ASSET PRICING. Duong Nguyen* Tribhuvan N. Puri*

SYSTEMATIC LIQUIDITY, CHARACTERISTIC LIQUIDITY AND ASSET PRICING. Duong Nguyen* Tribhuvan N. Puri* SYSTEMATIC LIQUIDITY, CHARACTERISTIC LIQUIDITY AND ASSET PRICING Duong Nguyen* Trbhuvan N. Pur* Address for correspondence: Trbhuvan N. Pur, Professor of Fnance Char, Department of Accountng and Fnance

More information

Consumption Based Asset Pricing

Consumption Based Asset Pricing Consumpton Based Asset Prcng Mchael Bar Aprl 25, 208 Contents Introducton 2 Model 2. Prcng rsk-free asset............................... 3 2.2 Prcng rsky assets................................ 4 2.3 Bubbles......................................

More information

UNIVERSITY OF VICTORIA Midterm June 6, 2018 Solutions

UNIVERSITY OF VICTORIA Midterm June 6, 2018 Solutions UIVERSITY OF VICTORIA Mdterm June 6, 08 Solutons Econ 45 Summer A0 08 age AME: STUDET UMBER: V00 Course ame & o. Descrptve Statstcs and robablty Economcs 45 Secton(s) A0 CR: 3067 Instructor: Betty Johnson

More information

Pivot Points for CQG - Overview

Pivot Points for CQG - Overview Pvot Ponts for CQG - Overvew By Bran Bell Introducton Pvot ponts are a well-known technque used by floor traders to calculate ntraday support and resstance levels. Ths technque has been around for decades,

More information

Creating a zero coupon curve by bootstrapping with cubic splines.

Creating a zero coupon curve by bootstrapping with cubic splines. MMA 708 Analytcal Fnance II Creatng a zero coupon curve by bootstrappng wth cubc splnes. erg Gryshkevych Professor: Jan R. M. Röman 0.2.200 Dvson of Appled Mathematcs chool of Educaton, Culture and Communcaton

More information

c slope = -(1+i)/(1+π 2 ) MRS (between consumption in consecutive time periods) price ratio (across consecutive time periods)

c slope = -(1+i)/(1+π 2 ) MRS (between consumption in consecutive time periods) price ratio (across consecutive time periods) CONSUMPTION-SAVINGS FRAMEWORK (CONTINUED) SEPTEMBER 24, 2013 The Graphcs of the Consumpton-Savngs Model CONSUMER OPTIMIZATION Consumer s decson problem: maxmze lfetme utlty subject to lfetme budget constrant

More information

Spatial Variations in Covariates on Marriage and Marital Fertility: Geographically Weighted Regression Analyses in Japan

Spatial Variations in Covariates on Marriage and Marital Fertility: Geographically Weighted Regression Analyses in Japan Spatal Varatons n Covarates on Marrage and Martal Fertlty: Geographcally Weghted Regresson Analyses n Japan Kenj Kamata (Natonal Insttute of Populaton and Socal Securty Research) Abstract (134) To understand

More information

OCR Statistics 1 Working with data. Section 2: Measures of location

OCR Statistics 1 Working with data. Section 2: Measures of location OCR Statstcs 1 Workng wth data Secton 2: Measures of locaton Notes and Examples These notes have sub-sectons on: The medan Estmatng the medan from grouped data The mean Estmatng the mean from grouped data

More information

Prospect Theory and Asset Prices

Prospect Theory and Asset Prices Fnance 400 A. Penat - G. Pennacch Prospect Theory and Asset Prces These notes consder the asset prcng mplcatons of nvestor behavor that ncorporates Prospect Theory. It summarzes an artcle by N. Barbers,

More information

A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME

A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME Vesna Radonć Đogatovć, Valentna Radočć Unversty of Belgrade Faculty of Transport and Traffc Engneerng Belgrade, Serba

More information

An Application of Alternative Weighting Matrix Collapsing Approaches for Improving Sample Estimates

An Application of Alternative Weighting Matrix Collapsing Approaches for Improving Sample Estimates Secton on Survey Research Methods An Applcaton of Alternatve Weghtng Matrx Collapsng Approaches for Improvng Sample Estmates Lnda Tompkns 1, Jay J. Km 2 1 Centers for Dsease Control and Preventon, atonal

More information

Alternatives to Shewhart Charts

Alternatives to Shewhart Charts Alternatves to Shewhart Charts CUSUM & EWMA S Wongsa Overvew Revstng Shewhart Control Charts Cumulatve Sum (CUSUM) Control Chart Eponentally Weghted Movng Average (EWMA) Control Chart 2 Revstng Shewhart

More information

SOCIETY OF ACTUARIES FINANCIAL MATHEMATICS. EXAM FM SAMPLE SOLUTIONS Interest Theory

SOCIETY OF ACTUARIES FINANCIAL MATHEMATICS. EXAM FM SAMPLE SOLUTIONS Interest Theory SOCIETY OF ACTUARIES EXAM FM FINANCIAL MATHEMATICS EXAM FM SAMPLE SOLUTIONS Interest Theory Ths page ndcates changes made to Study Note FM-09-05. January 14, 014: Questons and solutons 58 60 were added.

More information

ACADEMIC ARTICLES ON THE TESTS OF THE CAPM

ACADEMIC ARTICLES ON THE TESTS OF THE CAPM ACADEMIC ARTICLES ON THE TESTS OF THE CAPM Page: o 5 The table below s a summary o the results o the early academc tests o the Captal Asset Prcng Model. The table lst the alpha correcton needed accordng

More information

INDEX DESCRIPTION. Commerzbank Global Equity Risk Premia 15% Risk Control Excess Return Index

INDEX DESCRIPTION. Commerzbank Global Equity Risk Premia 15% Risk Control Excess Return Index INDEX DESCRIPTION Commerzbank Global Equty Rsk Prema 15% Rsk Control Excess Return Index The Commerzbank Global Equty Rsk Prema 15% Rsk Control Excess Return Index descrbed below s a vrtual rules-based

More information

Testing Benjamin Graham s Net Current Asset Value Strategy in London

Testing Benjamin Graham s Net Current Asset Value Strategy in London Testng Benjamn Graham s Net Current Asset Value Strategy n London Yng Xao and Glen Arnold Centre for Economcs and Fnance Research Salford Busness School Unversty of Salford Salford Manchester M5 4WT, UK

More information

A Bootstrap Confidence Limit for Process Capability Indices

A Bootstrap Confidence Limit for Process Capability Indices A ootstrap Confdence Lmt for Process Capablty Indces YANG Janfeng School of usness, Zhengzhou Unversty, P.R.Chna, 450001 Abstract The process capablty ndces are wdely used by qualty professonals as an

More information

Country, Sector or Style: What matters most when constructing Global Equity Portfolios?

Country, Sector or Style: What matters most when constructing Global Equity Portfolios? Country, Sector or Style: What matters most when constructng Global Equty Portfolos? An emprcal nvestgaton from 1990-2001 Foort Hamelnk, Hélène Harasty and Perre Hllon Abstract Equty returns are beleved

More information

Morningstar After-Tax Return Methodology

Morningstar After-Tax Return Methodology Mornngstar After-Tax Return Methodology Mornngstar Research Report 24 October 2003 2003 Mornngstar, Inc. All rghts reserved. The nformaton n ths document s the property of Mornngstar, Inc. Reproducton

More information

The Integration of the Israel Labour Force Survey with the National Insurance File

The Integration of the Israel Labour Force Survey with the National Insurance File The Integraton of the Israel Labour Force Survey wth the Natonal Insurance Fle Natale SHLOMO Central Bureau of Statstcs Kanfey Nesharm St. 66, corner of Bach Street, Jerusalem Natales@cbs.gov.l Abstact:

More information

Spurious Seasonal Patterns and Excess Smoothness in the BLS Local Area Unemployment Statistics

Spurious Seasonal Patterns and Excess Smoothness in the BLS Local Area Unemployment Statistics Spurous Seasonal Patterns and Excess Smoothness n the BLS Local Area Unemployment Statstcs Keth R. Phllps and Janguo Wang Federal Reserve Bank of Dallas Research Department Workng Paper 1305 September

More information

Examining the Validity of Credit Ratings Assigned to Credit Derivatives

Examining the Validity of Credit Ratings Assigned to Credit Derivatives Examnng the Valdty of redt atngs Assgned to redt Dervatves hh-we Lee Department of Fnance, Natonal Tape ollege of Busness No. 321, Sec. 1, h-nan d., Tape 100, Tawan heng-kun Kuo Department of Internatonal

More information

Scribe: Chris Berlind Date: Feb 1, 2010

Scribe: Chris Berlind Date: Feb 1, 2010 CS/CNS/EE 253: Advanced Topcs n Machne Learnng Topc: Dealng wth Partal Feedback #2 Lecturer: Danel Golovn Scrbe: Chrs Berlnd Date: Feb 1, 2010 8.1 Revew In the prevous lecture we began lookng at algorthms

More information

II. Random Variables. Variable Types. Variables Map Outcomes to Numbers

II. Random Variables. Variable Types. Variables Map Outcomes to Numbers II. Random Varables Random varables operate n much the same way as the outcomes or events n some arbtrary sample space the dstncton s that random varables are smply outcomes that are represented numercally.

More information

Measures of Spread IQR and Deviation. For exam X, calculate the mean, median and mode. For exam Y, calculate the mean, median and mode.

Measures of Spread IQR and Deviation. For exam X, calculate the mean, median and mode. For exam Y, calculate the mean, median and mode. Part 4 Measures of Spread IQR and Devaton In Part we learned how the three measures of center offer dfferent ways of provdng us wth a sngle representatve value for a data set. However, consder the followng

More information

Real Exchange Rate Fluctuations, Wage Stickiness and Markup Adjustments

Real Exchange Rate Fluctuations, Wage Stickiness and Markup Adjustments Real Exchange Rate Fluctuatons, Wage Stckness and Markup Adjustments Yothn Jnjarak and Kanda Nakno Nanyang Technologcal Unversty and Purdue Unversty January 2009 Abstract Motvated by emprcal evdence on

More information

EuroMTS Eurozone Government Bill Index Rules

EuroMTS Eurozone Government Bill Index Rules EuroMTS Eurozone Government Bll Index Rules 1 of 11 MTS 21 Contents 1. MTS Indces Structure 1.1 Summary of MTS Indces 1.2 emtx[z]: EuroMTS Eurozone Government Bll Indces 1.3 Selecton Crtera 2. Generc Features

More information

Do not Fear the Fear Index: Evidence from US, UK and European Markets

Do not Fear the Fear Index: Evidence from US, UK and European Markets Do not Fear the Fear Index: Evdence from US, UK and European Markets Pankaj Chandorkar 1,# and Janusz Brzeszczyńsk 2 1 Lecturer n Fnance Northumbra Unversty, Newcastle Busness School Department of Accountng

More information

Stochastic ALM models - General Methodology

Stochastic ALM models - General Methodology Stochastc ALM models - General Methodology Stochastc ALM models are generally mplemented wthn separate modules: A stochastc scenaros generator (ESG) A cash-flow projecton tool (or ALM projecton) For projectng

More information

Survey of Math Test #3 Practice Questions Page 1 of 5

Survey of Math Test #3 Practice Questions Page 1 of 5 Test #3 Practce Questons Page 1 of 5 You wll be able to use a calculator, and wll have to use one to answer some questons. Informaton Provded on Test: Smple Interest: Compound Interest: Deprecaton: A =

More information

R Square Measure of Stock Synchronicity

R Square Measure of Stock Synchronicity Internatonal Revew of Busness Research Papers Vol. 7. No. 1. January 2011. Pp. 165 175 R Square Measure of Stock Synchroncty Sarod Khandaker* Stock market synchroncty s a new area of research for fnance

More information

A Meta Analysis of Real Estate Fund Performance

A Meta Analysis of Real Estate Fund Performance A Meta Analyss of Real Estate Fund Performance A Paper Presented at the ARES Annual Meetng Aprl 00 Naples, Florda Abstract Stephen Lee, Unversty of Readng * and Smon Stevenson, Unversty College Dubln Ths

More information

Introduction. Chapter 7 - An Introduction to Portfolio Management

Introduction. Chapter 7 - An Introduction to Portfolio Management Introducton In the next three chapters, we wll examne dfferent aspects of captal market theory, ncludng: Brngng rsk and return nto the pcture of nvestment management Markowtz optmzaton Modelng rsk and

More information

Welfare Aspects in the Realignment of Commercial Framework. between Japan and China

Welfare Aspects in the Realignment of Commercial Framework. between Japan and China Prepared for the 13 th INFORUM World Conference n Huangshan, Chna, July 3 9, 2005 Welfare Aspects n the Realgnment of Commercal Framework between Japan and Chna Toshak Hasegawa Chuo Unversty, Japan Introducton

More information

>1 indicates country i has a comparative advantage in production of j; the greater the index, the stronger the advantage. RCA 1 ij

>1 indicates country i has a comparative advantage in production of j; the greater the index, the stronger the advantage. RCA 1 ij 69 APPENDIX 1 RCA Indces In the followng we present some maor RCA ndces reported n the lterature. For addtonal varants and other RCA ndces, Memedovc (1994) and Vollrath (1991) provde more thorough revews.

More information

Statistical Inference for Risk-Adjusted Performance Measure. Miranda Lam

Statistical Inference for Risk-Adjusted Performance Measure. Miranda Lam Statstcal Inference for Rsk-Adjusted Performance Measure Mranda Lam Abstract Ths paper examnes the statstcal propertes of and sgnfcance tests for a popular rsk-adjusted performance measure, the M-squared

More information

The following eligible ETFs are divided into an equity basket and a fixed-income basket:

The following eligible ETFs are divided into an equity basket and a fixed-income basket: Index Methodology for the BlackRock BLD Clara Index The BlackRock Clara Index s desgned to provde exposure to a dversfed global equty portfolo whch targets volatlty at a predetermned level. The ndex uses

More information

University of Toronto November 9, 2006 ECO 209Y MACROECONOMIC THEORY. Term Test #1 L0101 L0201 L0401 L5101 MW MW 1-2 MW 2-3 W 6-8

University of Toronto November 9, 2006 ECO 209Y MACROECONOMIC THEORY. Term Test #1 L0101 L0201 L0401 L5101 MW MW 1-2 MW 2-3 W 6-8 Department of Economcs Prof. Gustavo Indart Unversty of Toronto November 9, 2006 SOLUTION ECO 209Y MACROECONOMIC THEORY Term Test #1 A LAST NAME FIRST NAME STUDENT NUMBER Crcle your secton of the course:

More information

University of Toronto November 9, 2006 ECO 209Y MACROECONOMIC THEORY. Term Test #1 L0101 L0201 L0401 L5101 MW MW 1-2 MW 2-3 W 6-8

University of Toronto November 9, 2006 ECO 209Y MACROECONOMIC THEORY. Term Test #1 L0101 L0201 L0401 L5101 MW MW 1-2 MW 2-3 W 6-8 Department of Economcs Prof. Gustavo Indart Unversty of Toronto November 9, 2006 SOLUTION ECO 209Y MACROECONOMIC THEORY Term Test #1 C LAST NAME FIRST NAME STUDENT NUMBER Crcle your secton of the course:

More information

MULTIPLE CURVE CONSTRUCTION

MULTIPLE CURVE CONSTRUCTION MULTIPLE CURVE CONSTRUCTION RICHARD WHITE 1. Introducton In the post-credt-crunch world, swaps are generally collateralzed under a ISDA Master Agreement Andersen and Pterbarg p266, wth collateral rates

More information

Network Analytics in Finance

Network Analytics in Finance Network Analytcs n Fnance Prof. Dr. Danng Hu Department of Informatcs Unversty of Zurch Nov 14th, 2014 Outlne Introducton: Network Analytcs n Fnance Stock Correlaton Networks Stock Ownershp Networks Board

More information