Apples and Oranges: Building a Better Dow

Size: px
Start display at page:

Download "Apples and Oranges: Building a Better Dow"

Transcription

1 Apples and Oranges: Buldng a Better Dow By Debraj Ray and Rajv Seth August Introducton The Dow Jones Industral Average s among the most closely watched stock market ndexes n the world. It s also an enormously valuable resource for research, wth an unnterrupted data seres stretchng back to Yet t has some glarng omssons. Apple, currently the largest publcly traded company n the world wth a market captalzaton of over $577 bllon, sn t a Dow component. Nor s Google, wth a hgher valuaton than all but a handful of frms n the ndex. Meanwhle, companes wth less than a tenth of Apple s valuaton, ncludng Alcoa and Hewlett-Packard, contnue to be ncluded. The reason for such seemngly arbtrary omssons has to do wth the manner n whch the Dow s computed. It s a prce-weghted ndex, and the average prce of ts thrty components s currently around $58. Both Apple and Google have share prces n excess of $600, and ther ncluson would cause day-to-day changes n the ndex to be drven largely by the behavor of these two securtes. As we show below, ther combned weght n the Dow would be about 43% f they were both to be ncluded n place of the two current components (Alcoa and Travelers) wth the lowest market captalzatons. Furthermore, the ndex would become consderably more volatle even f the ncluded stocks were ndvdually no more volatle than those they replace. As John Prestbo, Charman of the Index Oversght Commttee recently observed, such heavy dependence of the ndex on one or two stocks would hamper ts ablty to accurately reflect the broader market. 1 Indeed, prce-weghtng s decdedly an odd methodology. Smply addng Chevron s share prce to that of AT&T (as the Dow does) ensures that a one-dollar change n the prce of Chevron wll have the same effect on the ndex as a one-dollar change n the prce of AT&T. But a one-dollar change works out to well under a 1% change n the share prce of Chevron (0.89% as of August 3, 2012), whle that same dollar change means a 2.7% change n the share prce of AT&T. That means Chevron s three tmes as mportant n affectng the Dow as AT&T s, and for no legtmate reason. The market captalzaton of each company s just a shade over $218b; they are equally valuable. 1 John Prestbo, Why AAPL and GOOG Aren t n the Dow. Indexology, February

2 2 Ths ssue does not arse wth value-weghted ndexes such as the S&P 500. But an abrupt change of weghtng scheme would result n a methodologcal dscontnuty that would nterfere wth the hstorcal analyss of stock prce data. Prestbo contnues: The Dow s unque n that t has been contnuously calculated usng the same methodology for more than a century. The mportance of havng ths deep market hstory becomes abundantly clear when you start to analyze long-term market trends... Over The Dows 116-year hstory, there have been 23 busness cycles. Wonder how the market wll perform as we come out of a recesson? Or how t mght respond to changes n economc polcy? The Dow s the ndex that offers the most complete dataset. Changng the methodology would essentally oblterate ths hstory. Attenton n the fnancal press has therefore been focused on the need for a stock splt, whch would reduce the prce of Apple shares to a level that could be accommodated by the questonable methodology of the Dow. But an abrupt swtch to a value-weghted ndex or the flawed artfce of a stock splt are not the only avalable alternatves. We propose a modfcaton to the Dow formula that largely preserves the hstorcal ntegrty of the tme seres. At the same tme, t allows for the ncluson of securtes regardless of ther market prce and a smooth and gradual transton, as ncumbent stocks are replaced, to a fully value-weghted ndex n the long run. The proposed ndex s composed of two subndces, one prce-weghted to respect the nternal structure of the Dow, and the other value-weghted to apply to new entrants. There are two parameters, both of whch are adjusted whenever a substtuton s made. One of these mantans contnuty n the value of the ndex, whle the other ensures that the two subndces are weghted n proporton to ther respectve market captalzatons. Stock splts requre a change n parameters (as n the case of the current Dow dvsor) but only f the splt occurs for a frm n the prce-weghted subndex. Once all ncumbent frms have been replaced, the result wll be a fully value-weghted ndex. In practce ths could take several decades, as some ncumbent frms are lkely to be reman Dow components far nto the future. But frms n the prce-weghted component of the ndex that happen to have weghts roughly commensurate wth ther market captalzaton can be transferred wth no loss of contnuty to the value-weghted component. Ths procedure, whch we call brdgng, can accelerate the transton to a value-weghted ndex wth mnmal short term dsrupton. We llustrate ths set of prncples wth several examples.

3 3 2. Indexes Suppose that there are n companes. Company has share prce p and outstandng shares s, so ts market captalzaton s gven by v p s. An ndex based on these n companes s some functon f defned on the vector (p 1, s 1 ;... ; p n, s n ). f s a prce-weghted ndex f f(p 1, s 1 ;... ; p n, s n ) = A for some A > 0. It s a value-weghted ndex f for some B > 0. f(p 1, s 1 ;... ; p n, s n ) = B =1 p p s = B It wll help the exposton to thnk of f as beng defned on a larger doman, say, for all subsets of m stocks, where m n. =1 =1 v 3. Substtuton by Value-Weghtng at the Margn Let f be any ndex. The objectve s to nclude a new stock, call t n + 1 and drop an old stock, say stock 1. At the tme of the change, we are n a partcular envronment; call t ( p 1, s 1 ;... ; p n, s n ; p n+1, s n+1 ). Proceed as follows. Frst, recallng that f s defned on subsets of stocks, defne α > 0 such that (1) αf( p 2, s 2 ;... ; p n, s n ) = v. Now create the new ndex g(p 2, s 2 ;... ; p n, s n ; p n+1, s n+1 ) by defnng (2) g(p 2, s 2 ;... ; p n, s n ; p n+1, s n+1 ) δ [αf(p 2, s 2 ;... ; p n, s n ) + v n+1, where α s defned by (1), and δ s chosen so that (3) δ [αf( p 2, s 2 ;... ; p n, s n ) + v n+1 = f( p 1, s 1 ;... ; p n, s n ). Ths ensures contnuty of the ndex at the pont of substtuton. The procedure defned above takes care of a sngle addton to an arbtrary current ndex, whle value-weghtng at the margn. How about subsequent addtons? Suppose that we wsh to add a second securty n + 2 at some later tme, when the envronment s ( p 2, s 2 ;... ; p n+2, s n+2 ). Agan recallng that f s defned on a subset of n 2 stocks, defne α > 0 such that (4) α f( p 3, s 3 ;... ; p n, s n ) = ṽ. =3

4 4 Now defne a new ndex g (p 3, s 3 ;... ; p n+2, s n+2 ) as (5) g (p 3, s 3 ;... ; p n+2, s n+2 ) δ [ α f(p 3, s 3 ;... ; p n, s n ) + v n+1 + v n+2, where δ s chosen so that (6) δ [ α f( p 3, s 3 ;... ; p n, s n ) + ṽ n+1 + ṽ n+2 = g( p2, s 2 ;... ; p n+1, s n+1 ). As before, we have contnuty of the ndex at the tme of substtuton. Clearly the same prncple can be appled to add more stocks to replace the orgnal ncumbents as tme unfolds. Once all ncumbents have been replaced, we have a value-weghted ndex. Remarks. 1. Note that the stocks n the ndex at any pont n tme can be parttoned nto two groups: those that enter a subndex defned by f and those that enter a value-weghted subndex. All new addtons that replace any asset n the former group can be made n accordance wth the procedure dentfed above. But at some pont n tme t wll be necessary to replace an asset n the latter group. Ths s easly accomplshed. Suppose, for nstance, that stock n + 2 s to be replaced n the ndex (5) by a new stock, say n + 3. Then we replace v n+2 by v n+3 n the formula and adjust the parameters δ and α n order to satsfy two condtons: contnuty of the ndex value at the tme of substtuton, and proportonalty of each subndex wth ther respectve aggregate market captalzatons. 2. If a stock n the value-weghted subndex splts, t has no mpact on the ndex and no adjustment need be made. If a stock n the subndex defned by f splts then an adjustment may be necessary, but ts precse form wll depend on the nature of f. In the next secton we consder splts when f defnes a prce weghted ndex. 3. Our procedure yelds exactly the same answer even f we arbtrarly change f by a multplcatve constant on any subset of companes. To see ths, look at (1). Imagne that on the subset 2,..., n 1, we replace f by ˆf, where ˆf(p 2, s 2 ;... ; p n, s n ) = kf(p 2, s 2 ;... ; p n, s n ) for any k > 0. Then the correspondng value of α, call t ˆα, s obvously related to α by ˆα = α/k and so the subsequent equatons (2) and (3) are entrely unaltered. Exactly the same comments apply to the constructon descrbed n (4) (6). 4. Applcaton: Addng Apple to The Dow The Dow s gven by f(p 1, s 1 ;... ; p n, s n ) = 1 D p, =1

5 where D s the Dow dvsor pror to substtuton. The obvous extenson of f to lowerdmensonal subsets {m,..., n}, after droppng the frst m 1 stocks, s f(p m, s m ;... ; p n, s n ) = A m p, where A m s any postve constant (by Remark 3 n Secton 3, the precse choce of A m s unmportant). Usng ths n (1), we see that for any partcular vector ( p 2, s 2 ;... ; p n, s n ), α = 1 n p s A n 2 p, where we are agreeng to drop stock 1, say Alcoa. So the new ndex after addng Apple (our stock n + 1) s gven by [ n (7) δ p s n p p + p n+1 s n+1, where δ s chosen to satsfy (3), so that there s no jump n the current value of the Dow. More generally, once a total of m 1 ncumbents have been replaced, the ndex takes the followng two-parameter form: [ n+m δ α p + v. =m =n+1 The two parameters δ and α are adjusted each tme a substtuton s made: δ to mantan contnuty n the value of the ndex, and α to ensure that each of the two subcomponents receve weghts n proporton to ther market captalzatons. Stock splts requre changes n both parameters but only f they occur for frms n the prce-weghted subcomponent. Ths constructon allows us to add apples and oranges. At the tmes of substtuton, t s tantamount to addng valuatons just lke a value-weghted ndex would, but n subsequent movements of prces t respects the nternal structure of The Dow (projected onto the frst n companes). Of course the new ndex s nether prce-weghted nor value-weghted. But our teratve procedure allows us to keep addng new stocks. It s obvous that once the orgnal n stocks have dropped out, the procedure generates a fully value-weghted ndex. =m 5 5. An Implementaton Table 1 shows the 30 current Dow components n decreasng order of market captalzaton as of August 3, The ndex tself stood at at ths tme, and the Dow dvsor was approxmately D = The sxth column n the table contans the weghts of the respectve stocks n the computaton of the Dow, whch are smply proportonal to prces. Hence IBM, for example, has a weght n the Dow that s more than

6 6 Symbol Name Prce Shares Captalzaton P-Weght V-Weght AA Alcoa ,066,890,000 8,929,869, % 0.22% TRV Travelers ,358,000 24,551,158, % 0.62% HPQ Hewlett-Packard ,971,830,000 36,005,615, % 0.91% DD E.I. du Pont ,373,000 46,025,552, % 1.16% BA Boeng ,798,000 54,738,412, % 1.38% CAT Caterpllar ,500,000 55,475,550, % 1.39% MMM 3M ,320,000 63,394,044, % 1.59% AXP Amercan Express ,133,650,000 65,309,576, % 1.64% UTX Unted ,787,000 70,034,359, % 1.76% KFT Kraft Foods ,772,988,000 71,823,743, % 1.81% HD Home Depot ,530,660,000 80,038,211, % 2.01% BAC Bank of Amerca ,777,000,000 80,073,110, % 2.01% CSCO Csco ,356,880,000 87,584,988, % 2.20% DIS Walt Dsney ,787,360,000 88,956,907, % 2.24% MCD McDonald s ,016,240,000 91,044,941, % 2.29% VZ Verzon ,848,880, ,661,204, % 3.18% INTC Intel ,003,000, ,228,690, % 3.30% MRK Merck ,041,560, ,284,874, % 3.38% JPM JP Morgan Chase ,806,670, ,382,720, % 3.45% PG Procter & Gamble ,740,110, ,477,205, % 4.51% PFE Pfzer ,488,140, ,812,039, % 4.57% KO Coca-Cola ,250,960, ,945,096, % 4.57% JNJ Johnson & Johnson ,757,040, ,566,604, % 4.79% CVX Chevron ,962,140, ,032,996, % 5.48% T AT&T ,805,000, ,151,900, % 5.48% GE General Electrc ,558,800, ,312,448, % 5.56% IBM IBM ,142,780, ,864,685, % 5.70% MSFT Mcrosoft ,383,400, ,406,150, % 6.27% WMT Wal-Mart ,383,540, ,242,907, % 6.34% XOM Exxon Mobl ,615,940, ,125,547, % 10.16% Table 1. Dow Components as of August 3, 2012 nne tmes that of GE and almost seven tmes that of Mcrosoft, even though all three frms are of comparable market captalzaton. Meanwhle AA and BAC have neglgble weghts and hence lttle mpact on day-to-day movements of the ndex. Now consder the possblty of replacng Alcoa wth Apple, whch had a prce of and market captalzaton of 577 bllon at ths tme. If ths substtuton were made wthout alterng the method by whch the Dow s computed, then the new ndex would

7 be gven by 1 D 31 where the modfed Dow dvsor would be approxmately Apple would carry a weght of more than 26% n the new ndex, and both the volatlty and the day-to-day changes n value of the ndex would be heavly dependent on the behavor of ths one securty. And f Google, wth a share prce of , were also ncluded (n place of Travelers for nstance) we would have an even more absurd scenaro wth the two new entrants accountng for more than 43% of the Dow. Ths s precsely why the ncluson of these frms has been ressted to date. Yet Apple clearly belongs n any representatve stock market ndex. So does Google, whch would place comfortably n the top ten components by captalzaton were t to be ncluded. Ths could be done wthout serously compromsng the hstorcal ntegrty of the tme seres by adoptng the approach descrbed here. If Apple were to replace Alcoa under our proposed procedure, the new ndex would be [ 30 δ β p + v 31 where 30 β = v 30 p and δ = to ensure contnuty of the ndex at the tme of substtuton. The ntal weght of Apple n the new ndex wll smply equal ts market captalzaton relatve to total market captalzaton of the components, whch amounts to less than 13%. Ths wll change over tme wth changes n prces, and wll also change as addtonal substtutons are made. But note that the ntal weght of Apple n our proposed modfcaton to the Dow would be just slghtly greater than the weght of IBM n the current ndex, even though IBM has half the market captalzaton of Apple. If we can tolerate IBM on these terms, why not Apple? p, 7 6. Brdgng Reflect agan on just how the Dow s computed. In the Introducton, we used the example of Chevron and AT&T. We showed that Chevron s three tmes as mportant n affectng the Dow as AT&T s. The penultmate column of Table 1 shows the mplct prce weghts gven to the Dow 30 under the current method of computng the ndex. Chevron s prce weght s 6.42%, as opposed to AT&T s 2.17%. Indeed, the Dow s rfe wth such examples. Compare the prce weghts n the penultmate column of Table 1 wth the market value weghts n the very last column. Note how

8 8 Chevron and AT&T have dentcal (or near-dentcal) market value weghts, as do Intel and Merck, or Coca Cola and Pfzer, or Mcrosoft and Walmart. Yet the members n these pars of companes are accorded very dfferent roles n the Dow. As we ve dscussed, there s lttle we can do by way of radcal change wth such ncumbent companes for fear of destroyng the hstorcal contnuty of the ndex. But for companes that have the concdental property that ther prce weght happens to equal ther market value weght (or s wthn some tolerance threshold of the latter), we mght consder mgratng them over, or brdgng them, to a value-weghted system. Ths would speed up the transton to eventual value-weghtng. More formally, fx a partcular envronment ( p 1, s 1 ;... ; p n, s n ). Value weght equals prce weght for a company k f p k (8) p = v k v. In ths case, we can remove stock k from the prce-weghted component and brng t back n agan usng the value-weghted procedure wthout affectng the total value of the ndex or the mportance of that stock relatve to any of the other companes n the Dow. To see ths, suppose wthout loss of generalty that k = 1. Then followng the procedure leadng up to equaton (7), we have the new ndex (9) δ 1 [ n p s n p p + p 1 s 1 where δ 1 s chosen to satsfy (3) as before. Ths s exactly the same procedure except that we removed and added the same company (company 1 n ths case). Of course the value of the Dow s unaltered, just as before, by the choce of δ 1. But more mportantly, we ve left entrely untouched the relatve mportance of company 1 to every other company n the entre ndex, locally evaluated at the exstng envronment. Under prce weghtng, the relatve mpact of a one-percent change n stock 1 relatve to any other stock j was equal to p 1 /p j. After the change gven (9) that relatve mpact s n p 1 s 1 /p p s j n p. Generally speakng, ths rato wll dverge from p /p j as the envronment contnues to evolve, but the pont s that locally around the orgnal envronment ( p 1, s 1 ;... ; p n, s n ) when the change took place, the rato s no dfferent: n p 1 s 1 / p p s j n p = p 1 / p j. To see ths, use equaton (8). 2 2 Equaton (8) readly mples that p1/ n p = v1/ n v = p1 s1/ n p s, and now the desred equalty follows rght away.

9 The brdgng process speeds up convergence to a value-weghted ndex wthout compromsng the hstorcal contnuty of the Dow. To be sure, t can only be appled to ncumbent companes for whch the fortutous equalty descrbed n (8) happens to hold. Is that true today for any of the stocks n the Dow? The answer appears to be n the affrmatve for Coca Cola (prce weght 4.67% versus value weght 4.57%), and perhaps Dsney (2.88% versus 2.24%). We recommend brdgng them. 9

HIGH MODERATE LOW SECURITY. Speculative Stock Junk Bonds Collectibles. Blue Chip or Growth Stocks Real Estate Mutual Funds

HIGH MODERATE LOW SECURITY. Speculative Stock Junk Bonds Collectibles. Blue Chip or Growth Stocks Real Estate Mutual Funds RETURN POTENTIAL $$$$ HIGH Speculative Stock Junk Bonds Collectibles $$$ $$ MODERATE LOW Blue Chip or Growth Stocks Real Estate Mutual Funds Corporate Bonds Preferred Stock Government Bonds $ SECURITY

More information

( The Gleason Report Performance of the TGR Timing Models with the Dow Stocks January 2015

(  The Gleason Report Performance of the TGR Timing Models with the Dow Stocks January 2015 (www.gleasonreport.com) The Gleason Report Performance of the TGR Timing Models with the Dow Stocks January 2015 The Gleason Report (TGR) market timing system uses many years of data to create a customized

More information

FINAL DISCLOSURE SUPPLEMENT Dated January 26, 2011 To the Disclosure Statement dated December 6, 2010

FINAL DISCLOSURE SUPPLEMENT Dated January 26, 2011 To the Disclosure Statement dated December 6, 2010 FINAL DISCLOSURE SUPPLEMENT Dated January 26, 2011 To the Disclosure Statement dated December 6, 2010 Union Bank, N.A. Market-Linked Certificates of Deposit, due January 31, 2017 (MLCD No. 102) Average

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

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

FINAL DISCLOSURE SUPPLEMENT Dated September 27, 2011 To the Disclosure Statement dated May 18, 2011

FINAL DISCLOSURE SUPPLEMENT Dated September 27, 2011 To the Disclosure Statement dated May 18, 2011 FINAL DISCLOSURE SUPPLEMENT Dated September 27, 2011 To the Disclosure Statement dated May 18, 2011 Union Bank, N.A. Market-Linked Certificates of Deposit, due October 1, 2018 (MLCD No. 167) Average Return

More information

Chapter Four. Stock Market Indexes

Chapter Four. Stock Market Indexes Chapter Four Stock Market Indexes New investors may be confused about marketplaces such as NYSE, AMEX or even NASDAQ (as a quotation system or market place) where securities are traded and indices such

More information

Taxation and Externalities. - Much recent discussion of policy towards externalities, e.g., global warming debate/kyoto

Taxation and Externalities. - Much recent discussion of policy towards externalities, e.g., global warming debate/kyoto Taxaton and Externaltes - Much recent dscusson of polcy towards externaltes, e.g., global warmng debate/kyoto - Increasng share of tax revenue from envronmental taxaton 6 percent n OECD - Envronmental

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

TCOM501 Networking: Theory & Fundamentals Final Examination Professor Yannis A. Korilis April 26, 2002

TCOM501 Networking: Theory & Fundamentals Final Examination Professor Yannis A. Korilis April 26, 2002 TO5 Networng: Theory & undamentals nal xamnaton Professor Yanns. orls prl, Problem [ ponts]: onsder a rng networ wth nodes,,,. In ths networ, a customer that completes servce at node exts the networ wth

More information

15-451/651: Design & Analysis of Algorithms January 22, 2019 Lecture #3: Amortized Analysis last changed: January 18, 2019

15-451/651: Design & Analysis of Algorithms January 22, 2019 Lecture #3: Amortized Analysis last changed: January 18, 2019 5-45/65: Desgn & Analyss of Algorthms January, 09 Lecture #3: Amortzed Analyss last changed: January 8, 09 Introducton In ths lecture we dscuss a useful form of analyss, called amortzed analyss, for problems

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

FINAL DISCLOSURE SUPPLEMENT Dated December 20, 2013 To the Disclosure Statement dated January 30, 2013

FINAL DISCLOSURE SUPPLEMENT Dated December 20, 2013 To the Disclosure Statement dated January 30, 2013 FINAL DISCLOSURE SUPPLEMENT Dated December 20, 2013 To the Disclosure Statement dated January 30, 2013 Union Bank, N.A. Market-Linked Certificates of Deposit, due December 26, 2019 (MLCD No. 328) Average

More information

FINAL DISCLOSURE SUPPLEMENT Dated December 27, 2010 To the Disclosure Statement dated November 10, 2010

FINAL DISCLOSURE SUPPLEMENT Dated December 27, 2010 To the Disclosure Statement dated November 10, 2010 FINAL DISCLOSURE SUPPLEMENT Dated December 27, 2010 To the Disclosure Statement dated November 10, 2010 Union Bank, N.A. Market-Linked Certificates of Deposit, due December 22, 2017 (MLCD No. 95) Capped

More information

Price and Quantity Competition Revisited. Abstract

Price and Quantity Competition Revisited. Abstract rce and uantty Competton Revsted X. Henry Wang Unversty of Mssour - Columba Abstract By enlargng the parameter space orgnally consdered by Sngh and Vves (984 to allow for a wder range of cost asymmetry,

More information

Applications of Myerson s Lemma

Applications of Myerson s Lemma Applcatons of Myerson s Lemma Professor Greenwald 28-2-7 We apply Myerson s lemma to solve the sngle-good aucton, and the generalzaton n whch there are k dentcal copes of the good. Our objectve s welfare

More information

FINAL DISCLOSURE SUPPLEMENT Dated November 25, 2013 To the Disclosure Statement dated January 30, 2013

FINAL DISCLOSURE SUPPLEMENT Dated November 25, 2013 To the Disclosure Statement dated January 30, 2013 FINAL DISCLOSURE SUPPLEMENT Dated November 25, 2013 To the Disclosure Statement dated January 30, 2013 Union Bank, N.A. Market-Linked Certificates of Deposit, due November 29, 2018 (MLCD No. 322) Capped

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

Management Report of Fund Performance

Management Report of Fund Performance Management Report of Fund Performance 10AUG201217330279 The following is a report on the performance of Top 20 U.S. Dividend Trust (the Trust ) and contains financial highlights but does not contain the

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

EDC Introduction

EDC Introduction .0 Introducton EDC3 In the last set of notes (EDC), we saw how to use penalty factors n solvng the EDC problem wth losses. In ths set of notes, we want to address two closely related ssues. What are, exactly,

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

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

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

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

CS 286r: Matching and Market Design Lecture 2 Combinatorial Markets, Walrasian Equilibrium, Tâtonnement

CS 286r: Matching and Market Design Lecture 2 Combinatorial Markets, Walrasian Equilibrium, Tâtonnement CS 286r: Matchng and Market Desgn Lecture 2 Combnatoral Markets, Walrasan Equlbrum, Tâtonnement Matchng and Money Recall: Last tme we descrbed the Hungaran Method for computng a maxmumweght bpartte matchng.

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

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

Elements of Economic Analysis II Lecture VI: Industry Supply

Elements of Economic Analysis II Lecture VI: Industry Supply Elements of Economc Analyss II Lecture VI: Industry Supply Ka Hao Yang 10/12/2017 In the prevous lecture, we analyzed the frm s supply decson usng a set of smple graphcal analyses. In fact, the dscusson

More information

Understanding Annuities. Some Algebraic Terminology.

Understanding Annuities. Some Algebraic Terminology. Understandng Annutes Ma 162 Sprng 2010 Ma 162 Sprng 2010 March 22, 2010 Some Algebrac Termnology We recall some terms and calculatons from elementary algebra A fnte sequence of numbers s a functon of natural

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

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

Investment funds 8/8/2017

Investment funds 8/8/2017 Investment funds 8/8/2017 Outline for today Why funds? Types of funds Mutual funds fees and performance Active or passive management? /Michał Dzieliński, Stockholm Business School 2 Investment funds Pool

More information

January 3, Company ABC, Inc Main Street. Re: 25, In 2011, Company based to the. based 200% 150% 100% 50% 0% TSR $85.54 $44.

January 3, Company ABC, Inc Main Street. Re: 25, In 2011, Company based to the. based 200% 150% 100% 50% 0% TSR $85.54 $44. January 3, 2014 Mr. John Doe Director, Compensation Company ABC, Inc. 1234 Main Street New York, NY 10108 Re: Performance Award Certification FY2011 Performance Share Units Dear John, This letter certifies

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

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

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

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

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

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

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

Investing in the Stock Market

Investing in the Stock Market FINANCIAL MANAGEMENT II Investing in the Stock Market 2013 C.A.S.H. Program 1 INVESTING For the purposes of simplicity we will only discuss one aspect of Investing and that is Stock Market Investing. There

More information

Economics 1410 Fall Section 7 Notes 1. Define the tax in a flexible way using T (z), where z is the income reported by the agent.

Economics 1410 Fall Section 7 Notes 1. Define the tax in a flexible way using T (z), where z is the income reported by the agent. Economcs 1410 Fall 2017 Harvard Unversty Yaan Al-Karableh Secton 7 Notes 1 I. The ncome taxaton problem Defne the tax n a flexble way usng T (), where s the ncome reported by the agent. Retenton functon:

More information

Economic Design of Short-Run CSP-1 Plan Under Linear Inspection Cost

Economic Design of Short-Run CSP-1 Plan Under Linear Inspection Cost Tamkang Journal of Scence and Engneerng, Vol. 9, No 1, pp. 19 23 (2006) 19 Economc Desgn of Short-Run CSP-1 Plan Under Lnear Inspecton Cost Chung-Ho Chen 1 * and Chao-Yu Chou 2 1 Department of Industral

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

Advisory. Category: Capital

Advisory. Category: Capital Advsory Category: Captal NOTICE* Subject: Alternatve Method for Insurance Companes that Determne the Segregated Fund Guarantee Captal Requrement Usng Prescrbed Factors Date: Ths Advsory descrbes an alternatve

More information

3: Central Limit Theorem, Systematic Errors

3: Central Limit Theorem, Systematic Errors 3: Central Lmt Theorem, Systematc Errors 1 Errors 1.1 Central Lmt Theorem Ths theorem s of prme mportance when measurng physcal quanttes because usually the mperfectons n the measurements are due to several

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

Equilibrium in Prediction Markets with Buyers and Sellers

Equilibrium in Prediction Markets with Buyers and Sellers Equlbrum n Predcton Markets wth Buyers and Sellers Shpra Agrawal Nmrod Megddo Benamn Armbruster Abstract Predcton markets wth buyers and sellers of contracts on multple outcomes are shown to have unque

More information

Macroeconomic Theory and Policy

Macroeconomic Theory and Policy ECO 209 Macroeconomc Theory and Polcy Lecture 7: The Open Economy wth Fxed Exchange Rates Gustavo Indart Slde 1 Open Economy under Fxed Exchange Rates Let s consder an open economy wth no captal moblty

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

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

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

Interim Management Report of Fund Performance

Interim Management Report of Fund Performance Interim Management Report of Fund Performance 10AUG201217330279 The following is an interim report on the performance of Top 20 U.S. Dividend Trust (the Trust ) and contains financial highlights but does

More information

Q3 Individual Equity Holdings in the Advisor Perspectives Universe

Q3 Individual Equity Holdings in the Advisor Perspectives Universe Q3 Individual Equity Holdings in the Advisor Perspectives Universe This study analyzes the holdings of individual equities within the Advisor Perspectives (AP) Universe, as of the end of Q3 2007. A previous

More information

Single-Item Auctions. CS 234r: Markets for Networks and Crowds Lecture 4 Auctions, Mechanisms, and Welfare Maximization

Single-Item Auctions. CS 234r: Markets for Networks and Crowds Lecture 4 Auctions, Mechanisms, and Welfare Maximization CS 234r: Markets for Networks and Crowds Lecture 4 Auctons, Mechansms, and Welfare Maxmzaton Sngle-Item Auctons Suppose we have one or more tems to sell and a pool of potental buyers. How should we decde

More information

Hewlett Packard 10BII Calculator

Hewlett Packard 10BII Calculator Hewlett Packard 0BII Calculator Keystrokes for the HP 0BII are shown n the tet. However, takng a mnute to revew the Quk Start secton, below, wll be very helpful n gettng started wth your calculator. Note:

More information

EARLY TO RISE: WHEN OPENING STOCK RETURNS ARE HIGHER THAN DAILY RETURNS?

EARLY TO RISE: WHEN OPENING STOCK RETURNS ARE HIGHER THAN DAILY RETURNS? EALY TO ISE: WHEN OPENING STOCK ETUNS AE HIGHE THAN DAILY ETUNS? KUDYAVTSEV Andrey The Max Stern Academic College of Emek Yezreel Israel Abstract: In present study I explore intraday behavior of stock

More information

2) In the medium-run/long-run, a decrease in the budget deficit will produce:

2) In the medium-run/long-run, a decrease in the budget deficit will produce: 4.02 Quz 2 Solutons Fall 2004 Multple-Choce Questons ) Consder the wage-settng and prce-settng equatons we studed n class. Suppose the markup, µ, equals 0.25, and F(u,z) = -u. What s the natural rate of

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

ECO 209Y MACROECONOMIC THEORY AND POLICY LECTURE 8: THE OPEN ECONOMY WITH FIXED EXCHANGE RATES

ECO 209Y MACROECONOMIC THEORY AND POLICY LECTURE 8: THE OPEN ECONOMY WITH FIXED EXCHANGE RATES ECO 209 MACROECONOMIC THEOR AND POLIC LECTURE 8: THE OPEN ECONOM WITH FIXED EXCHANGE RATES Gustavo Indart Slde 1 OPEN ECONOM UNDER FIXED EXCHANGE RATES Let s consder an open economy wth no captal moblty

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

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

New Distance Measures on Dual Hesitant Fuzzy Sets and Their Application in Pattern Recognition

New Distance Measures on Dual Hesitant Fuzzy Sets and Their Application in Pattern Recognition Journal of Artfcal Intellgence Practce (206) : 8-3 Clausus Scentfc Press, Canada New Dstance Measures on Dual Hestant Fuzzy Sets and Ther Applcaton n Pattern Recognton L Xn a, Zhang Xaohong* b College

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

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

UNIVERSITY OF NOTTINGHAM

UNIVERSITY OF NOTTINGHAM UNIVERSITY OF NOTTINGHAM SCHOOL OF ECONOMICS DISCUSSION PAPER 99/28 Welfare Analyss n a Cournot Game wth a Publc Good by Indraneel Dasgupta School of Economcs, Unversty of Nottngham, Nottngham NG7 2RD,

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

OPERATIONS RESEARCH. Game Theory

OPERATIONS RESEARCH. Game Theory OPERATIONS RESEARCH Chapter 2 Game Theory Prof. Bbhas C. Gr Department of Mathematcs Jadavpur Unversty Kolkata, Inda Emal: bcgr.umath@gmal.com 1.0 Introducton Game theory was developed for decson makng

More information

SIMPLE FIXED-POINT ITERATION

SIMPLE FIXED-POINT ITERATION SIMPLE FIXED-POINT ITERATION The fed-pont teraton method s an open root fndng method. The method starts wth the equaton f ( The equaton s then rearranged so that one s one the left hand sde of the equaton

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

Two Period Models. 1. Static Models. Econ602. Spring Lutz Hendricks

Two Period Models. 1. Static Models. Econ602. Spring Lutz Hendricks Two Perod Models Econ602. Sprng 2005. Lutz Hendrcks The man ponts of ths secton are: Tools: settng up and solvng a general equlbrum model; Kuhn-Tucker condtons; solvng multperod problems Economc nsghts:

More information

Monthly Beta Forecasting with Low, Medium and High Frequency Stock Returns

Monthly Beta Forecasting with Low, Medium and High Frequency Stock Returns Monthly Beta Forecasting with Low, Medium and High Frequency Stock Returns Tolga Cenesizoglu Department of Finance, HEC Montreal, Canada and CIRPEE Qianqiu Liu Shidler College of Business, University of

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

Chapter 5 Student Lecture Notes 5-1

Chapter 5 Student Lecture Notes 5-1 Chapter 5 Student Lecture Notes 5-1 Basc Busness Statstcs (9 th Edton) Chapter 5 Some Important Dscrete Probablty Dstrbutons 004 Prentce-Hall, Inc. Chap 5-1 Chapter Topcs The Probablty Dstrbuton of a Dscrete

More information

A Theory of Bilateral Oligopoly with Applications to Vertical Mergers

A Theory of Bilateral Oligopoly with Applications to Vertical Mergers A Theory of Blateral Olgopoly wth Applcatons to Vertcal Mergers Kenneth Hendrcks UBC and Unversty of Texas and R. Preston McAfee Unversty of Texas Exxon Mobl Merger Refnng s concentrated n CA Retal Sales

More information

Ch Rival Pure private goods (most retail goods) Non-Rival Impure public goods (internet service)

Ch Rival Pure private goods (most retail goods) Non-Rival Impure public goods (internet service) h 7 1 Publc Goods o Rval goods: a good s rval f ts consumpton by one person precludes ts consumpton by another o Excludable goods: a good s excludable f you can reasonably prevent a person from consumng

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

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

4: SPOT MARKET MODELS

4: SPOT MARKET MODELS 4: SPOT MARKET MODELS INCREASING COMPETITION IN THE BRITISH ELECTRICITY SPOT MARKET Rchard Green (1996) - Journal of Industral Economcs, Vol. XLIV, No. 2 PEKKA SULAMAA The obect of the paper Dfferent polcy

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

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

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

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

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

Facility Location Problem. Learning objectives. Antti Salonen Farzaneh Ahmadzadeh

Facility Location Problem. Learning objectives. Antti Salonen Farzaneh Ahmadzadeh Antt Salonen Farzaneh Ahmadzadeh 1 Faclty Locaton Problem The study of faclty locaton problems, also known as locaton analyss, s a branch of operatons research concerned wth the optmal placement of facltes

More information

Ethel Hart Mutual Endowment Fund Quarterly Investment Report September 30, 2016 Q1 FY2017. Office of the City Treasurer - City of Sacramento

Ethel Hart Mutual Endowment Fund Quarterly Investment Report September 30, 2016 Q1 FY2017. Office of the City Treasurer - City of Sacramento Quarterly Investment Report September 30, 2016 Q1 FY2017 Office of the City Treasurer - City of Sacramento John Colville, Interim City Treasurer Q1 FY2017 INTRODUCTION In 1993, Ethel MacLeod Hart left

More information

- contrast so-called first-best outcome of Lindahl equilibrium with case of private provision through voluntary contributions of households

- contrast so-called first-best outcome of Lindahl equilibrium with case of private provision through voluntary contributions of households Prvate Provson - contrast so-called frst-best outcome of Lndahl equlbrum wth case of prvate provson through voluntary contrbutons of households - need to make an assumpton about how each household expects

More information

Ethel Hart Mutual Endowment Fund Quarterly Investment Report September 30, 2017 Q1 FY2018. Office of the City Treasurer - City of Sacramento

Ethel Hart Mutual Endowment Fund Quarterly Investment Report September 30, 2017 Q1 FY2018. Office of the City Treasurer - City of Sacramento Quarterly Investment Report Q1 FY2018 Office of the City Treasurer - City of Sacramento John Colville, City Treasurer Q1 FY2018 INTRODUCTION In 1993, Ethel MacLeod Hart left a bequest of $1,498,719.07

More information

Market Opening and Stock Market Behavior: Taiwan s Experience

Market Opening and Stock Market Behavior: Taiwan s Experience Internatonal Journal of Busness and Economcs, 00, Vol., No., 9-5 Maret Openng and Stoc Maret Behavor: Tawan s Experence Q L * Department of Economcs, Texas A&M Unversty, U.S.A. and Department of Economcs,

More information

Problems to be discussed at the 5 th seminar Suggested solutions

Problems to be discussed at the 5 th seminar Suggested solutions ECON4260 Behavoral Economcs Problems to be dscussed at the 5 th semnar Suggested solutons Problem 1 a) Consder an ultmatum game n whch the proposer gets, ntally, 100 NOK. Assume that both the proposer

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

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

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

Portfolio Risk Management Using the Lorenz Curve

Portfolio Risk Management Using the Lorenz Curve October 5, 203 Portfolo Rsk Management Usng the Lorenz Curve by Ham Shalt Abstract Ths paper presents a methodology for usng the Lorenz curve n fnancal economcs. Most of the recent quanttatve rsk measures

More information

STUDY GUIDE FOR TOPIC 1: FUNDAMENTAL CONCEPTS OF FINANCIAL MATHEMATICS. Learning objectives

STUDY GUIDE FOR TOPIC 1: FUNDAMENTAL CONCEPTS OF FINANCIAL MATHEMATICS. Learning objectives Study Gude for Topc 1 1 STUDY GUIDE FOR TOPIC 1: FUNDAMENTAL CONCEPTS OF FINANCIAL MATHEMATICS Learnng objectves After studyng ths topc you should be able to: apprecate the ever-changng envronment n whch

More information

Problem Set #4 Solutions

Problem Set #4 Solutions 4.0 Sprng 00 Page Problem Set #4 Solutons Problem : a) The extensve form of the game s as follows: (,) Inc. (-,-) Entrant (0,0) Inc (5,0) Usng backwards nducton, the ncumbent wll always set hgh prces,

More information

Session 15, Flexible Probability Stress Testing. Moderator: Dan dibartolomeo. Presenter: Attilio Meucci, CFA, Ph.D.

Session 15, Flexible Probability Stress Testing. Moderator: Dan dibartolomeo. Presenter: Attilio Meucci, CFA, Ph.D. Session 15, Flexible Probability Stress Testing Moderator: Dan dibartolomeo Presenter: Attilio Meucci, CFA, Ph.D. Attilio Meucci Entropy Pooling STUDY IT: www.symmys.com (white papers and code) DO IT:

More information

Benjamin Graham Model. Valuation Guide for the Dow Jones Industrial Average (Third Quarter 2018)

Benjamin Graham Model. Valuation Guide for the Dow Jones Industrial Average (Third Quarter 2018) Benjamin Graham Model Valuation Guide for the Dow Jones Industrial Average (Third Quarter 8) Disclaimers All information presented herein is intended as a guide and reference to serve as a source for better

More information