Behavior-driven glide path design

Size: px
Start display at page:

Download "Behavior-driven glide path design"

Transcription

1 June 2018 Behavior-driven glide pah design Posiioning invesors for greaer self-funded reiremen success For insiuional use only

2 Execuive summary The glide pah for Charles Schwab Invesmen Managemen s (CSIM s) arge dae funds draws from a pragmaic behaviorally driven asse allocaion approach based on exensive research and real-world experience working wih reiremen invesors hrough muliple marke cycles. By focusing on how hese individuals end o selec heir asse allocaions and respond o risk, our arge dae funds seek o enhance he invesmen experience of everyday working people across all aspecs of sraegy delivery, from glide pah developmen o porfolio implemenaion. Our goal is o help invesors secure a successful reiremen by supporing lifelong wealh accumulaion wihou unduly placing savings a risk. To achieve his oucome, CSIM s glide pah design is based on a framework ha carefully quanifies he level of risk invesors can olerae and benefi from as hey coninually move closer o and hrough reiremen. We srive o holisically manage he noable, iner-conneced risks ha invesors may encouner across a lifeime of invesing, being mindful of volailiy and downside risk conrols so ha invesors coninue conribuions, even in difficul marke climaes Key akeaways CSIM s glide pah is buil using comprehensive behavioral and quaniaive analysis. The glide pah design evaluaes risks holisically using our proprieary risk proxy mehodology. Diverse inpus and sress ess help our glide pah address behavioral endencies, invesmen risks, and wihdrawal susainabiliy. Our glide pah is coninually evaluaed and sraegically evolves o help invesors achieve reiremen success. For insiuional use only Behavior-driven glide pah design 2

3 Inroducion This paper provides an overview of he research and pragmaic hinking behind CSIM s arge dae funds glide pah and how i is designed o lead o sronger invesor oucomes. Our glide pah design, depiced in Exhibi 1 below, follows a sric invesors-firs philosophy, boh in erms of addressing he greaes hreas o reiremen securiy as well as aligning our asse allocaion sraegy o he evoluion of invesor risks. This draws from exensive muli-asse managemen experience and in-deph knowledge of he behaviors ha drive invesors savings and spending in reiremen. We believe ha a arge dae fund s glide pah should: Seek a balance beween upside poenial and managing risk a every sage in he invesmen lifecycle up o and hrough reiremen Implemen a risk reducion mehodology ha seeks o limi he possibiliy an invesor oulives asses (i.e., longeviy risk) Be delivered hrough a sysemaic, objecive, and ransparen invesmen process A is core, our glide pah developmen is fundamenally abou idenifying he mos efficien allocaion of risk a various life phases based on he level and ype of risk he ypical invesor is capable of aking on in each phase. The mehodical expression of his in a arge dae fund sraegy can help place invesors on a safer reiremen savings pah across a lifeime of invesing. 100% n 95% n 5% n 40% n 60% n 25% n 75% Iniializaion Accumulaion Transiion Reiremen Exhibi 1: Glide pah design CSIM s glide pah srives o deliver successful reiremens wih appropriae risk exposures hroughou invesors lifeimes. % Equiy 80% 60% 40% Equiy Fixed Income and Cash/Cash Equivalens 20% 0% Years before Years afer Targe dae For insiuional use only Behavior-driven glide pah design 3

4 Process overview The fundamenal goal behind our arge dae fund design is o help invesors maximize asse accumulaion wihou unduly placing savings a risk, in order o secure a safe, susainable income source in reiremen. To build a porfolio ha srives o achieve his oucome, we developed our glide pah uilizing invesmen and behavioral research and our own experience in working wih a wide range of reiremen invesors. This process is highlighed below in Exhibi 2 and discussed in greaer deail in he pages ha follow. Key iniial inpus Firs, we will discuss he key iniial inpus ino our glide pah design, which apply our research abou reiremen savers and long-erm invesmen views. Savings profile/demographic inpus Our process sars wih wha we know abou invesors based on heir real-world behaviors. For example, he daa from numerous reiremen plan paricipans served by Schwab s 401(k) recordkeeping plaform combined wih Bureau of Labor saisics and Employee Benefi Research Insiue daa enable us o beer undersand he saving paerns, behavioral biases, and anicipaed reiremen needs for a wide range of invesors. For base-case modeling scenarios, we have synhesized his informaion o idenify a ypical invesor savings profile, assuming conservaive salary deferrals and employer mach amouns o anicipae realisic accumulaion poenial and wihdrawal needs (see an example of his in Exhibi 3). Exhibi 3: Savings profile Base-case invesor savings profile (nominal) Age range Deferral rae 4% 5% 6% 7% Employer mach 2% 2.5% 3% 3.5% Annual salary increase 4% 4% 3% 2% We derive several core expecaions from our research of his daa. A sample scenario follows: Invesors end o be reasonably consisen savers for 40 years and hen spenders for 20+ years. Deferrals begin a 4% of salary per year for he younges invesors bu seadily increase as salary, enure, and age increase unil a final deferral rae of 7% is reached o conservaively esimae reiremen balances; employer mach Exhibi 2: From research o implemenaion a comprehensive approach o glide pah design 1. Iniial inpus 2. Theoreical glide pah 3. Real-world 4. Final delivery refinemen Invesor characerisics Invesor demographics Invesmen sages Behavioral research Invesmen consideraions Capial marke expecaions Invesmen risks Behavioral risk profiles Toal capial (human+financial) Value-a-risk Risk proxy Quaniaive/ qualiaive adjusmens Glide pah For insiuional use only Behavior-driven glide pah design 4

5 conribuions are considered a componen of invesors reiremen savings, wih base-case assumpion of 50% employee deferral mach. Typical reiremen age is 65, and approximae life expecancy is 85 (20 years pos arge reiremen, which corresponds o he lowes equiy policy weigh in our glide pah). Average invesor salary and deferral projecions help analyze risk/reurn impac across he glide pah, wih sress es scenarios creaed o es losses under difficul marke condiions; however, invesors individual scenarios will vary based on unique circumsances. Invesmen phases Our research has idenified four main invesmen phases: Iniializaion (ages 21-30), Accumulaion (ages 30-55), Transiion (ages 55-65), and Reiremen (age 66+). Each phase presens disinc risks based on changing invesor characerisics, such as age, remaining working years, salary expecaions, savings raes, downside risk olerance, and need for wihdrawals (see Exhibi 4). The poenially derimenal behaviors we end o see in invesor savings paerns in hese segmens will be unsurprising o anyone involved wih reiremen invesing. Many invesors are simply no saving enough, especially in heir younger Iniializaion and prime Accumulaion years. Behavioral research also shows ha invesors may chase reurns, buying and selling a precisely he wrong ime. This can be paricularly evidenced in reacion o seep marke declines, given ha pain of loss has consisenly been shown o be much greaer han he happiness derived from an equal level of gain. While glide pah design alone canno conrol invesor usage, i can help suppor posiive behaviors. For example, higher allocaions o risk asses early in he glide pah may help compensae for savings deficis by maximizing he poenial of long-erm gains and invesmen compounding. However, he larger akeaway, in our view, is he imporance of volailiy conrols and reducing he risk of ousized losses in order o keep savers invesed and avoid fear-based selling. This becomes increasingly crucial as he glide pah progresses and he ime o recover from loss becomes shorer. For a real-world example, consider he Transiion sage invesors enering he 2008 financial crisis wih equiy-heavy porfolios who may have had o delay reiring o help recover invesmen losses before saring o make wihdrawals or worse who sold in reacion o noable losses and were never able o recoup heir original balances due o missing he subsequen marke rebound. Our glide pah seeks o reduce hese ill-imed dramaic losses by properly allocaing risks wih he remaining ime horizons of our invesors. Exhibi 4: Invesmen phases Invesors' primary life sages and key consideraions hroughou he invesmen horizon. Iniializaion Accumulaion Transiion Reiremen Age range Characerisics Many working years ahead Low salary Deferrals sar a approximaely age 25 Highes human capial Lowes financial capial Increasing salary Prime earning years High human capial Increasing financial capial Preparing for reiremen Rapidly falling human capial Peak financial capial No addiional income Wihdrawals begin Major Risks Low deferral rae Too lile marke exposure No accumulaing enough wealh Disruped savings sraegy Large marke losses Loss of purchasing power Depleing asses For illusraive purposes only. For insiuional use only Behavior-driven glide pah design 5

6 Capial marke expecaions Anoher key inpu o modeling a successful glide pah sraegy is a robus se of long-erm capial marke expecaions. In order o undersand he possible marke scenarios ha invesors may experience as hey save for and spend in reiremen, Charles Schwab Invesmen Managemen develops long-erm reurn, volailiy, and correlaion expecaions for each asse class. Our process uilizes boh qualiaive and quaniaive research leveraging inernal and exernal insighs o creae hese expecaions for a long-erm horizon of a leas 10-years. We formally review our capial marke expecaions on an annual basis o ensure ha our expecaions remain responsive o evolving marke condiions. As our reurn and volailiy expecaions change over ime, we regularly rees our glide pah and underlying asse allocaion o ensure our srucure suppors long-erm accumulaion and wihdrawal needs. Developing he risk proxy he heoreical glide pah To help beer undersand he role of risk in glide pah design, our research applies hese key iniial inpus o develop a measure for invesor risk olerance. We call his proprieary meric he risk proxy. We use he risk proxy o firmly base our glide pah consrucion on a realisic foundaion of appropriae invesmen risk levels a differen ages and invesmen phases, drawing from a deailed analysis of projeced capial accumulaions, required reiremen funding levels and a pruden undersanding around how invesors are likely o experience and reac o marke volailiy. Quanifying risk in glide pah design: Financial and human capial The premise behind he risk proxy is sraighforward. The value an invesor places a risk a any poin in he glide pah draws from wo ypes of capial. Financial capial measures he presen value of exising accrued savings balances. Human capial measures he presen value of fuure income and, by exension, fuure conribuions. A is mos basic level, he risk proxy implies ha younger invesors beginning heir careers ypically have limied savings, which ranslaes ino low financial capial. This suggess ha he real dollar impac from marke volailiy is insignifican relaive o fuure savings and liabiliy concerns. As such, low financial capial indicaes a higher risk olerance, all hings being equal. Conversely, when invesors are young, human capial is significan, given expecaions for a large number of working years ahead, years ha can help offse marke volailiy and ime o earn and increase income and conribuions. When human capial is high, i is furher indicaive of a higher risk olerance, all else being equal. As invesors age, hey generally have greaer financial capial, placing a progressively higher accoun value a risk as hey accumulae more. In addiion, heir human capial fades over ime, bu remains imporan as invesor conribuions grow. Toal capial combines financial capial and human capial o represen he oal value a ypical invesor is placing a risk a various invesmen sages (see Exhibi 5). Exhibi 5: Measuring value a risk Evaluaing invesors sources of wealh, and recognizing heir value a risk hroughou he glide pah. Value of invesor capial Iniializaion Accumulaion Transiion Reiremen Years before Years afer Targe dae Human capial + Presen value of fuure income Financial capial Accumulaed wealh = Toal capial For illusraive purposes only. For insiuional use only Behavior-driven glide pah design 6

7 Once oal capial is defined, we use i o quanify invesors risk olerance as a proxy for marke risk ha is appropriae a various invesmen sages. We projec he annual wihdrawal invesors can ake in reiremen under various scenarios o adequaely mee heir funding needs. In his sep, as an added layer of cauion, we do no assume Social Securiy or oher pos-reiremen income sources. Thus, a simplified version of he risk proxy is represened by he equaion below: Human capial + Presen value of wihdrawals Toal capial + Presen value of wihdrawals Noe, however, ha he proprieary risk proxy meric is a funcion of many more variables. 1 The resuling raio calculaes a value beween 0% and 100% wih a higher value equaing o a higher assumed poenial marke risk olerance, and vice versa. We hen apply his o every age, offering a numerical expression of invesor risk olerance across he glide pah, covering an overall ime horizon of a leas 40 years of saving and 20 years of pos-reiremen wihdrawals (see Exhibi 6 below). Translaing he risk proxy ino acual equiy exposure As explained, he risk proxy offers general guidance on deermining a pruden glide pah slope he change in equiy exposure over ime. However, he risk proxy calculaion is no inended o be used in isolaion. Any single meric, our risk proxy included, canno enirely reflec all risks ha mus be accouned for in glide pah design. Thus, relying on a purely quaniaive analysis does no compleely explain he risk aversion and oher emoional and cogniive biases of invesors. Accordingly, we make furher adjusmens o accoun for behavioral biases, ensure diversificaion, reduce overall volailiy and proec agains dramaic downside risk. Specifically, our design akes ino accoun poenial invesor behavior and reacions o marke volailiy. For example, he design assumes ha invesors may be more prone o sell afer pronounced marke correcions. As a resul, he glide pah inends o reduce maximum poenial drawdown and limi he risk of invesors selling a inappropriae imes, increasing he probabiliy of savers remaining invesed and coninuing o conribue o help achieve susainable wihdrawal raes in reiremen. 100% 80% Iniializaion Accumulaion Transiion Reiremen Exhibi 6: Glide pah equiy allocaion Our model glide pah assumpions closely mach many employee populaions. 60% 40% 20% CSIM's Glide pah equiy exposure Risk proxy 0% Years before Targe dae Years afer For insiuional use only Behavior-driven glide pah design 7

8 Considering his holisic approach, we adjus our final equiy marke exposure o be slighly more conservaive han he purely quaniaive risk proxy would sugges, alhough we sill mainain he shape and slope implied by he modeling. Invesmen risks In addiion o behavioral risks and our invesor focused approach, here are a number of specific invesmen risks ha we acknowledge and address hroughou our glide pah, each of which are incorporaed ino he overall design of our arge dae funds (see Exhibis 7 and 8). The naure and magniude of hese invesmen risks inherenly evolve as invesors age, moving coninually closer and evenually pas heir reiremen daes. They can also change across marke and economic cycles. Asse allocaion remains he mos useful way o help miigae hese risks, alhough he inerconneced naure of muli-asse invesing means ha hey canno all be fully eliminaed simulaneously. Indeed, decreasing one risk may acually increase anoher. For example, reducing marke and ail risk early in he glide pah migh increase longeviy risk laer in reiremen. Hence, we believe hese invesmen risks mus be viewed holisically o prudenly balance he ypes of risk ha invesors are vulnerable o a any given life sage. Sub-asse class diversificaion Wih broad equiy/fixed income exposures se, we nex begin o use sub-asse classes o furher diversify each of hese allocaions. Our glide pah invess in a wide specrum of asse classes drawn from long-erm, sraegic allocaion decisions, wih each segmen inended o enhance he risk/ reurn profile hroughou he glide pah. Some of he major characerisics we consider are long-erm risk/reurn expecaions, abiliy o fundamenally esimae long-erm resuls from inclusion, diversificaion benefis, availabiliy of implemenable sraegies, liquidiy, specific marke segmen exposure, cos, downside risk and appropriaeness for each invesmen phase. Sub-asse class weighings are no held consan, as we believe ha risk exposures should change boh a he sock and bond level and wihin hose allocaions as well. Consequenly, boh mixes become more conservaive over ime, inending o beer mach he invesors changing risk olerances and liquidiy needs. For example, overall equiy allocaions may be biased oward U.S. large cap securiies and generally reduce exposures o hisorically more volaile segmens, such as emerging marke, inernaional and small cap equiies, as he glide pah moves oward reiremen. Exhibi 7: Addressing risk How CSIM's glide pah addresses risk hroughou he invesmen horizon. Iniializaion Accumulaion Transiion Reiremen Age range CSIM s Glide pah Maximize equiy exposure o suppor long-erm growh Mainain broad marke exposure o suppor accumulaion Sysemaically reduce marke risk exposure a an increasing rae over ime Accelerae shif o more conservaive asses o proec accumulaed wealh and prepare for reiremen Conservaive marke exposure a reiremen year and beyond Coninue risk reducion for 20 years For insiuional use only Behavior-driven glide pah design 8

9 Exhibi 8 Invesmen risks addressed by CSIM's glide pah Challenges Marke risk Exposure o invesmens wih higher volailiy and risk of large downside marke moves Can include exposures o various counries and currencies Our approach Maximum marke exposure for invesors wih longes ime horizon Less equiy for invesors near and in reiremen. Reduce allocaions o more volaile sub-asse classes and acive sraegies as glide pah progresses Mainain broad diversificaion o a wide range of sub-asse classes Larger inernaional exposure early in glide pah, increased domesic bias near and in reiremen Longeviy risk The risk of invesors ouliving asses Higher level of marke exposure early in glide pah o suppor savings growh Coninue o manage exposures for invesors hroughou heir lifespan Moderae/conservaive equiy allocaions a reiremen and coninue o roll down beyond he reiremen year o mach risk olerance and help offse drawdown needs Mainain equiy exposures well ino reiremen despie a declining risk proxy, o acknowledge changing moraliy raes as invesors age Manage overall volailiy o reduce chance of behavioral reacion o marke downurns Ongoing sress ess for age of zero balance under various wihdrawal scenarios Sequence risk The risk of a arge funds selling volaile asses during a down marke as par of he glide pah rolldown Maximum annual roll down is less han 4% in any year Equiy roll down slope is flaer afer arge dae Volaile asse classes and sub-asse classes are sysemaically reduced each year Cash allocaion provides source of liquidiy, reducing need o immediaely liquidae more volaile asse classes Mainain broad diversificaion hroughou glide pah Porfolio managers use of cash flow during imes of marke sress Inflaion risk The risk of declining purchasing power Mainain allocaions o equiy and oher asses classes ha have sensiiviy o various sources of inflaion hroughou glide pah, including managing exposures beyond he reiremen year Inclusion of sub-asse classes ha may proec agains differen ypes of inflaion (TIPS, REITS, ec.) Inroducion of dedicaed TIPS exposure as he glide pah nears reiremen Tail risk The risk of crisis-level losses Mainain broad diversificaion o a wide range of sub-asse classes Reduce allocaions o more volaile sub-asse classes and acive sraegies as glide pah progresses Mainain a more conservaive allocaion near and a reiremen Ineres rae risk The risk ha fixed income asses migh lose value when ineres raes rise Mainain diversified allocaions hroughou reiremen, balancing fixed income and equiy exposures o miigae any specific asse class risk Increase allocaions o lower duraion asse classes such as shor erm bond and cash as glide pah nears and eners reiremen For insiuional use only Behavior-driven glide pah design 9

10 Poenial oucomes and sress esing across he glide pah We pu our glide pah o he es by esimaing poenial accoun balances, risks, and downside exposure in various phases using differen saving profiles and capial marke expecaions, as noed earlier. This allows us o beer idenify poenial oucomes under various sress es scenarios for invesors over ime. Our expeced risk/reward improves over ime as we ransiion he glide pah oward proecion laer in life, relaive o our earlier focus on wealh accumulaion. Addiionally, noe ha he impac of poenial marke losses is far greaer as invesors near reiremen, furher supporing our focus on downside proecion in laer phases, relaive o he less significan impac of poenial marke loss for a younger invesor. Examples of his oupu are illusraed in Exhibis 9 and 11. In our sress ess, CSIM s glide pah provides increasing proecion as invesors progress o and hroughou heir reiremen years. Addiionally, we esimae our glide pah s abiliy o provide susainable levels of reiremen wihdrawals for invesors. Exhibi 10 illusraes how long he accoun migh be expeced o suppor various annual wihdrawal raes for he ypical invesor s experience. A 5% wihdrawal may provide over 20 years of wihdrawals in reiremen. A higher 6% wihdrawal migh exhaus asses a approximaely 20 years, and a more modes wihdrawal rae of 4% may exend wihdrawals well beyond 30 years. Exhibi 10: Hypoheical wihdrawal scenarios We analyze several differen scenarios, and inend o provide for various invesor wihdrawal needs well ino reiremen. Reiremen asses Targe allocaion 95 40% Equiy Age 65 Final allocaion 25% Equiy Age Years afer Targe dae 6% Wihdrawal Reiremen 5% Wihdrawal 4% Wihdrawal Exhibi 9: Reduced downside risk as invesors age 2 0% Iniializaion Accumulaion Transiion Reiremen -5% Downside risk -10% -15% -20% -25% -30% Age For illusraive purposes only. For insiuional use only Behavior-driven glide pah design 10

11 Exhibi 11: Accouning for he four invesmen phases An example of he invesor experience hroughou CSIM's glide pah Age Average balance wih 5% real annual wihdrawals saring a age 65 Average poenial dollar impac of 10% loss Average expeced reurn Average expeced risk Average expeced Sharpe raio Iniializaion % 16.5% $6,610 ($660) 6.5% 16.3% 0.40 Summary $3,700 ($370) 6.5% 16.4% 0.40 Early savers have minimal impac from marke losses, and our glide pah maximizes growh poenial $22,240 ($2,220) 6.4% 15.8% $47,850 ($4,790) 6.3% 15.3% 0.41 Accumulaion $88,650 ($8,870) 6.0% 14.5% $149,170 ($14,920) 5.7% 13.3% $235,550 ($23,560) 5.4% 12.0% 0.45 Summary $108,690 ($10,870) 6.0% 14.2% 0.42 As savings accumulae, our glide pah balances growh wih reduced volailiy over ime. Transiion $351,650 ($35,160) 4.9% 10.5% $517,020 ($51,700) 4.3% 8.3% 0.52 Summary $441,850 ($44,190) 4.6% 9.3% 0.50 Nearing reiremen, we focus on proecing invesors' nes eggs, as he impac from losses could be significan $575,140 ($57,510) 4.0% 7.0% 0.56 Reiremen $514,440 ($51,440) 3.9% 6.7% $423,690 ($42,370) 3.7% 6.2% $295,960 ($29,600) 3.5% 5.5% 0.64 Summary $452,310 ($45,230) 3.7% 6.3% 0.60 For illusraive purposes only. Our glide pah emphasizes sabiliy over growh, while helping invesors susain a successful reiremen. For insiuional use only Behavior-driven glide pah design 11

12 Conclusion CSIM s glide pah has been buil wih he reiremen needs of real invesors in mind, using a behavioral approach o asse allocaion and a hisory of demonsraed experience hrough muliple marke cycles. In his paper, we have highlighed he exensive research, pracical insighs, and key porfolio inpus ha have gone ino building and monioring our glide pah design, including: A deep undersanding of invesors and heir behavioral biases A pragmaic allocaion sraegy ha seeks o holisically balance a full range of invesmen risks ha migh be experienced across a lifeime of invesing A sraegic framework accouning for invesors changing wealh accumulaion, and projeced savings and risk olerances hroughou heir lifespans A glide pah slope aligned wih invesors broad risk capaciy, uilizing a proprieary measure called he risk proxy Tigh conrols around relaive volailiy and downside exposure o help increase he probabiliy ha savers remain invesed and making conribuions even in periods of marke sress This inense focus on enhancing he reiremen invesmen experience of everyday working people carries hrough o all aspecs of our arge dae fund porfolio managemen, from real-world glide pah developmen o innovaive porfolio consrucion. We believe our emphasis on maximizing reiremen oucome poenial can help posiion a greaer number of invesors o achieve suiable wihdrawal levels ha are susainable across reiremen. Charles Schwab Invesmen Managemen As one of he naion s larges asse managers, our goal is o provide invesors wih a diverse selecion of foundaional producs ha aim o deliver consisen performance a a compeiive cos. 1 The CSIM definiion of a risk proxy is a funcion of many variables, such as human capial, financial capial, wihdrawals, discoun rae, value-a-risk, longeviy, risk aversion, age, expeced reurn, and volailiy. 2 Represens he average annual expeced reurn in negaive wo sandard deviaion even by age range. All chars, ables, and relaed daa were generaed by CSIM. The opinions expressed are no inended o serve as invesmen advice, a recommendaion, offer, or soliciaion o buy or sell any securiies, or recommendaion regarding specific invesmen sraegies. Informaion and daa provided have been obained from sources deemed reliable, bu are no guaraneed. Charles Schwab Invesmen Managemen makes no represenaion abou he accuracy of he informaion conained herein, or is appropriaeness for any given siuaion. Charles Schwab Invesmen Managemen, Inc. (CSIM) is an affiliae of Charles Schwab & Co., Inc. (Schwab) and a subsidiary of The Charles Schwab Corporaion Charles Schwab Invesmen Managemen, Inc. All righs reserved. IAN (0618-8DFD) MKT (06/18) For more insighs, visi us a schwabfunds.com

Appendix B: DETAILS ABOUT THE SIMULATION MODEL. contained in lookup tables that are all calculated on an auxiliary spreadsheet.

Appendix B: DETAILS ABOUT THE SIMULATION MODEL. contained in lookup tables that are all calculated on an auxiliary spreadsheet. Appendix B: DETAILS ABOUT THE SIMULATION MODEL The simulaion model is carried ou on one spreadshee and has five modules, four of which are conained in lookup ables ha are all calculaed on an auxiliary

More information

FINAL EXAM EC26102: MONEY, BANKING AND FINANCIAL MARKETS MAY 11, 2004

FINAL EXAM EC26102: MONEY, BANKING AND FINANCIAL MARKETS MAY 11, 2004 FINAL EXAM EC26102: MONEY, BANKING AND FINANCIAL MARKETS MAY 11, 2004 This exam has 50 quesions on 14 pages. Before you begin, please check o make sure ha your copy has all 50 quesions and all 14 pages.

More information

BUDGET ECONOMIC AND FISCAL POSITION REPORT

BUDGET ECONOMIC AND FISCAL POSITION REPORT BUDGET ECONOMIC AND FISCAL POSITION REPORT - 2004 Issued by he Hon. Miniser of Finance in Terms of Secion 7 of he Fiscal Managemen (Responsibiliy) Ac No. 3 of 1. Inroducion Secion 7 of he Fiscal Managemen

More information

(1 + Nominal Yield) = (1 + Real Yield) (1 + Expected Inflation Rate) (1 + Inflation Risk Premium)

(1 + Nominal Yield) = (1 + Real Yield) (1 + Expected Inflation Rate) (1 + Inflation Risk Premium) 5. Inflaion-linked bonds Inflaion is an economic erm ha describes he general rise in prices of goods and services. As prices rise, a uni of money can buy less goods and services. Hence, inflaion is an

More information

EVA NOPAT Capital charges ( = WACC * Invested Capital) = EVA [1 P] each

EVA NOPAT Capital charges ( = WACC * Invested Capital) = EVA [1 P] each VBM Soluion skech SS 2012: Noe: This is a soluion skech, no a complee soluion. Disribuion of poins is no binding for he correcor. 1 EVA, free cash flow, and financial raios (45) 1.1 EVA wihou adjusmens

More information

A Method for Estimating the Change in Terminal Value Required to Increase IRR

A Method for Estimating the Change in Terminal Value Required to Increase IRR A Mehod for Esimaing he Change in Terminal Value Required o Increase IRR Ausin M. Long, III, MPA, CPA, JD * Alignmen Capial Group 11940 Jollyville Road Suie 330-N Ausin, TX 78759 512-506-8299 (Phone) 512-996-0970

More information

Portfolio investments accounted for the largest outflow of SEK 77.5 billion in the financial account, which gave a net outflow of SEK billion.

Portfolio investments accounted for the largest outflow of SEK 77.5 billion in the financial account, which gave a net outflow of SEK billion. BALANCE OF PAYMENTS DATE: 27-11-27 PUBLISHER: Saisics Sweden Balance of Paymens and Financial Markes (BFM) Maria Falk +46 8 6 94 72, maria.falk@scb.se Camilla Bergeling +46 8 6 942 6, camilla.bergeling@scb.se

More information

Description of the CBOE Russell 2000 BuyWrite Index (BXR SM )

Description of the CBOE Russell 2000 BuyWrite Index (BXR SM ) Descripion of he CBOE Russell 2000 BuyWrie Index (BXR SM ) Inroducion. The CBOE Russell 2000 BuyWrie Index (BXR SM ) is a benchmark index designed o rack he performance of a hypoheical a-he-money buy-wrie

More information

Description of the CBOE S&P 500 2% OTM BuyWrite Index (BXY SM )

Description of the CBOE S&P 500 2% OTM BuyWrite Index (BXY SM ) Descripion of he CBOE S&P 500 2% OTM BuyWrie Index (BXY SM ) Inroducion. The CBOE S&P 500 2% OTM BuyWrie Index (BXY SM ) is a benchmark index designed o rack he performance of a hypoheical 2% ou-of-he-money

More information

Ch. 10 Measuring FX Exposure. Is Exchange Rate Risk Relevant? MNCs Take on FX Risk

Ch. 10 Measuring FX Exposure. Is Exchange Rate Risk Relevant? MNCs Take on FX Risk Ch. 10 Measuring FX Exposure Topics Exchange Rae Risk: Relevan? Types of Exposure Transacion Exposure Economic Exposure Translaion Exposure Is Exchange Rae Risk Relevan?? Purchasing Power Pariy: Exchange

More information

Session IX: Special topics

Session IX: Special topics Session IX: Special opics 2. Subnaional populaion projecions 10 March 2016 Cheryl Sawyer, Lina Bassarsky Populaion Esimaes and Projecions Secion www.unpopulaion.org Maerials adaped from Unied Naions Naional

More information

Macroeconomics II THE AD-AS MODEL. A Road Map

Macroeconomics II THE AD-AS MODEL. A Road Map Macroeconomics II Class 4 THE AD-AS MODEL Class 8 A Road Map THE AD-AS MODEL: MICROFOUNDATIONS 1. Aggregae Supply 1.1 The Long-Run AS Curve 1.2 rice and Wage Sickiness 2.1 Aggregae Demand 2.2 Equilibrium

More information

Background paper prepared for the Education for All Global Monitoring Report Youth and skills: Putting education to work.

Background paper prepared for the Education for All Global Monitoring Report Youth and skills: Putting education to work. 2012/ED/EFA/MRT/PI/01 Background paper prepared for he Educaion for All Global Monioring Repor 2012 Youh and skills: Puing educaion o work GDP Projecions Eric A. Hanushek & Ludger Woessmann 2012 This paper

More information

An Introduction to PAM Based Project Appraisal

An Introduction to PAM Based Project Appraisal Slide 1 An Inroducion o PAM Based Projec Appraisal Sco Pearson Sanford Universiy Sco Pearson is Professor of Agriculural Economics a he Food Research Insiue, Sanford Universiy. He has paricipaed in projecs

More information

DOES EVA REALLY HELP LONG TERM STOCK PERFORMANCE?

DOES EVA REALLY HELP LONG TERM STOCK PERFORMANCE? DOES EVA REALLY HELP LONG TERM STOCK PERFORMANCE? Wesley M. Jones, Jr. The Ciadel wes.jones@ciadel.edu George Lowry, Randolph Macon College glowry@rmc.edu ABSTRACT Economic Value Added (EVA) as a philosophy

More information

CHAPTER CHAPTER18. Openness in Goods. and Financial Markets. Openness in Goods, and Financial Markets. Openness in Goods,

CHAPTER CHAPTER18. Openness in Goods. and Financial Markets. Openness in Goods, and Financial Markets. Openness in Goods, Openness in Goods and Financial Markes CHAPTER CHAPTER18 Openness in Goods, and Openness has hree disinc dimensions: 1. Openness in goods markes. Free rade resricions include ariffs and quoas. 2. Openness

More information

Corporate Finance. Capital budgeting. Standalone risk of capital project

Corporate Finance. Capital budgeting. Standalone risk of capital project Corporae Finance Capial budgeing Iniial oulay = FCInv + NWCInv Sal afer ax operaing cashflow = 0 + T ( Sal0 B0 ) ( R C)( 1 ax) + ax Ter min al year non opereaing cashflow = Sal T Dep + NWCInv ax ( Sal

More information

Li Gan Guan Gong Michael Hurd. April, 2006

Li Gan Guan Gong Michael Hurd. April, 2006 Ne Inergeneraional Transfers from an Increase in Social Securiy Benefis Li Gan Guan Gong Michael Hurd April, 2006 ABSTRACT When he age of deah is uncerain, individuals will leave bequess even if hey have

More information

Final Exam Answers Exchange Rate Economics

Final Exam Answers Exchange Rate Economics Kiel Insiu für Welwirhschaf Advanced Sudies in Inernaional Economic Policy Research Spring 2005 Menzie D. Chinn Final Exam Answers Exchange Rae Economics This exam is 1 ½ hours long. Answer all quesions.

More information

Subdivided Research on the Inflation-hedging Ability of Residential Property: A Case of Hong Kong

Subdivided Research on the Inflation-hedging Ability of Residential Property: A Case of Hong Kong Subdivided Research on he -hedging Abiliy of Residenial Propery: A Case of Hong Kong Guohua Huang 1, Haili Tu 2, Boyu Liu 3,* 1 Economics and Managemen School of Wuhan Universiy,Economics and Managemen

More information

2. Quantity and price measures in macroeconomic statistics 2.1. Long-run deflation? As typical price indexes, Figure 2-1 depicts the GDP deflator,

2. Quantity and price measures in macroeconomic statistics 2.1. Long-run deflation? As typical price indexes, Figure 2-1 depicts the GDP deflator, 1 2. Quaniy and price measures in macroeconomic saisics 2.1. Long-run deflaion? As ypical price indexes, Figure 2-1 depics he GD deflaor, he Consumer rice ndex (C), and he Corporae Goods rice ndex (CG)

More information

Output: The Demand for Goods and Services

Output: The Demand for Goods and Services IN CHAPTER 15 how o incorporae dynamics ino he AD-AS model we previously sudied how o use he dynamic AD-AS model o illusrae long-run economic growh how o use he dynamic AD-AS model o race ou he effecs

More information

If You Are No Longer Able to Work

If You Are No Longer Able to Work If You Are No Longer Able o Work NY STRS A Guide for Making Disabiliy Reiremen Decisions INTRODUCTION If you re forced o sop working because of a serious illness or injury, you and your family will be

More information

Introduction. Enterprises and background. chapter

Introduction. Enterprises and background. chapter NACE: High-Growh Inroducion Enerprises and background 18 chaper High-Growh Enerprises 8 8.1 Definiion A variey of approaches can be considered as providing he basis for defining high-growh enerprises.

More information

Inventory Investment. Investment Decision and Expected Profit. Lecture 5

Inventory Investment. Investment Decision and Expected Profit. Lecture 5 Invenory Invesmen. Invesmen Decision and Expeced Profi Lecure 5 Invenory Accumulaion 1. Invenory socks 1) Changes in invenory holdings represen an imporan and highly volaile ype of invesmen spending. 2)

More information

CHAPTER 3 How to Calculate Present Values. Answers to Practice Questions

CHAPTER 3 How to Calculate Present Values. Answers to Practice Questions CHAPTER 3 How o Calculae Presen Values Answers o Pracice Quesions. a. PV $00/.0 0 $90.53 b. PV $00/.3 0 $9.46 c. PV $00/.5 5 $ 3.5 d. PV $00/. + $00/. + $00/. 3 $40.8. a. DF + r 0.905 r 0.050 0.50% b.

More information

Exam 1. Econ520. Spring 2017

Exam 1. Econ520. Spring 2017 Exam 1. Econ520. Spring 2017 Professor Luz Hendricks UNC Insrucions: Answer all quesions. Clearly number your answers. Wrie legibly. Do no wrie your answers on he quesion shees. Explain your answers do

More information

Macroeconomics II A dynamic approach to short run economic fluctuations. The DAD/DAS model.

Macroeconomics II A dynamic approach to short run economic fluctuations. The DAD/DAS model. Macroeconomics II A dynamic approach o shor run economic flucuaions. The DAD/DAS model. Par 2. The demand side of he model he dynamic aggregae demand (DAD) Inflaion and dynamics in he shor run So far,

More information

Supplement to Models for Quantifying Risk, 5 th Edition Cunningham, Herzog, and London

Supplement to Models for Quantifying Risk, 5 th Edition Cunningham, Herzog, and London Supplemen o Models for Quanifying Risk, 5 h Ediion Cunningham, Herzog, and London We have received inpu ha our ex is no always clear abou he disincion beween a full gross premium and an expense augmened

More information

CURRENCY CHOICES IN VALUATION AND THE INTEREST PARITY AND PURCHASING POWER PARITY THEORIES DR. GUILLERMO L. DUMRAUF

CURRENCY CHOICES IN VALUATION AND THE INTEREST PARITY AND PURCHASING POWER PARITY THEORIES DR. GUILLERMO L. DUMRAUF CURRENCY CHOICES IN VALUATION AN THE INTEREST PARITY AN PURCHASING POWER PARITY THEORIES R. GUILLERMO L. UMRAUF TO VALUE THE INVESTMENT IN THE OMESTIC OR FOREIGN CURRENCY? Valuing an invesmen or an acquisiion

More information

Balance of Payments. Second quarter 2012

Balance of Payments. Second quarter 2012 Balance of Paymens Second quarer 2012 Balance of Paymens Second quarer 2012 Saisics Sweden 2012 Balance of Paymens. Second quarer 2012 Saisics Sweden 2012 Producer Saisics Sweden, Balance of Paymens and

More information

A Decision Model for Investment Timing Using Real Options Approach

A Decision Model for Investment Timing Using Real Options Approach A Decision Model for Invesmen Timing Using Real Opions Approach Jae-Han Lee, Jae-Hyeon Ahn Graduae School of Managemen, KAIST 207-43, Cheongrangri-Dong, Dongdaemun-Ku, Seoul, Korea ABSTRACT Real opions

More information

INSTITUTE OF ACTUARIES OF INDIA

INSTITUTE OF ACTUARIES OF INDIA INSIUE OF ACUARIES OF INDIA EAMINAIONS 23 rd May 2011 Subjec S6 Finance and Invesmen B ime allowed: hree hours (9.45* 13.00 Hrs) oal Marks: 100 INSRUCIONS O HE CANDIDAES 1. Please read he insrucions on

More information

The Effect of Open Market Repurchase on Company s Value

The Effect of Open Market Repurchase on Company s Value The Effec of Open Marke Repurchase on Company s Value Xu Fengju Wang Feng School of Managemen, Wuhan Universiy of Technology, Wuhan, P.R.China, 437 (E-mail:xfju@63.com, wangf9@63.com) Absrac This paper

More information

Chapter Outline CHAPTER

Chapter Outline CHAPTER 8-0 8-1 Chaper Ouline CHAPTER 8 Sraegy and Analysis in Using Ne Presen Value 8.1 Decision Trees 8.2 Sensiiviy Analysis, Scenario Analysis, and Break-Even Analysis 8.3 Mone Carlo Simulaion 8. Opions 8.5

More information

External balance assessment:

External balance assessment: Exernal balance assessmen: Balance of paymens Macroeconomic Analysis Course Banking Training School, Sae Bank of Vienam Marin Fukac 30 Ocober 3 November 2017 Economic policies Consumer prices Economic

More information

NASDAQ-100 DIVIDEND POINT INDEX. Index Methodology

NASDAQ-100 DIVIDEND POINT INDEX. Index Methodology NASDAQ-100 DIVIDEND POINT INDEX Index Mehodology April 2017 TABLE OF CONTENTS TABLE OF CONTENTS 1. Inroducion 2. Index calculaion 2.1 Formula 2.1.1 dividends 2.1.2 Rese of he index value 2.2 Oher adjusmens

More information

1. To express the production function in terms of output per worker and capital per worker, divide by N: K f N

1. To express the production function in terms of output per worker and capital per worker, divide by N: K f N THE LOG RU Exercise 8 The Solow Model Suppose an economy is characerized by he aggregae producion funcion / /, where is aggregae oupu, is capial and is employmen. Suppose furher ha aggregae saving is proporional

More information

Aid, Policies, and Growth

Aid, Policies, and Growth Aid, Policies, and Growh By Craig Burnside and David Dollar APPENDIX ON THE NEOCLASSICAL MODEL Here we use a simple neoclassical growh model o moivae he form of our empirical growh equaion. Our inenion

More information

Empirical analysis on China money multiplier

Empirical analysis on China money multiplier Aug. 2009, Volume 8, No.8 (Serial No.74) Chinese Business Review, ISSN 1537-1506, USA Empirical analysis on China money muliplier SHANG Hua-juan (Financial School, Shanghai Universiy of Finance and Economics,

More information

The Mathematics Of Stock Option Valuation - Part Four Deriving The Black-Scholes Model Via Partial Differential Equations

The Mathematics Of Stock Option Valuation - Part Four Deriving The Black-Scholes Model Via Partial Differential Equations The Mahemaics Of Sock Opion Valuaion - Par Four Deriving The Black-Scholes Model Via Parial Differenial Equaions Gary Schurman, MBE, CFA Ocober 1 In Par One we explained why valuing a call opion as a sand-alone

More information

VERIFICATION OF ECONOMIC EFFICIENCY OF LIGNITE DEPOSIT DEVELOPMENT USING THE SENSITIVITY ANALYSIS

VERIFICATION OF ECONOMIC EFFICIENCY OF LIGNITE DEPOSIT DEVELOPMENT USING THE SENSITIVITY ANALYSIS 1 Beaa TRZASKUŚ-ŻAK 1, Kazimierz CZOPEK 2 MG 3 1 Trzaskuś-Żak Beaa PhD. (corresponding auhor) AGH Universiy of Science and Technology Faculy of Mining and Geoengineering Al. Mickiewicza 30, 30-59 Krakow,

More information

How Risky is Electricity Generation?

How Risky is Electricity Generation? How Risky is Elecriciy Generaion? Tom Parkinson The NorhBridge Group Inernaional Associaion for Energy Economics New England Chaper 19 January 2005 19 January 2005 The NorhBridge Group Agenda Generaion

More information

HEDGING SYSTEMATIC MORTALITY RISK WITH MORTALITY DERIVATIVES

HEDGING SYSTEMATIC MORTALITY RISK WITH MORTALITY DERIVATIVES HEDGING SYSTEMATIC MORTALITY RISK WITH MORTALITY DERIVATIVES Workshop on moraliy and longeviy, Hannover, April 20, 2012 Thomas Møller, Chief Analys, Acuarial Innovaion OUTLINE Inroducion Moraliy risk managemen

More information

Ch. 1 Multinational Financial Mgmt: Overview. International Financial Environment. How Business Disciplines Are Used to Manage the MNC

Ch. 1 Multinational Financial Mgmt: Overview. International Financial Environment. How Business Disciplines Are Used to Manage the MNC Ch. Mulinaional Financial Mgm: Overview Topics Goal of he MNC Theories of Inernaional Business Inernaional Business Mehods Inernaional Opporuniies Exposure o Inernaional Risk MNC's Cash Flows & Valuaion

More information

The macroeconomic effects of fiscal policy in Greece

The macroeconomic effects of fiscal policy in Greece The macroeconomic effecs of fiscal policy in Greece Dimiris Papageorgiou Economic Research Deparmen, Bank of Greece Naional and Kapodisrian Universiy of Ahens May 22, 23 Email: dpapag@aueb.gr, and DPapageorgiou@bankofgreece.gr.

More information

Fundamental Basic. Fundamentals. Fundamental PV Principle. Time Value of Money. Fundamental. Chapter 2. How to Calculate Present Values

Fundamental Basic. Fundamentals. Fundamental PV Principle. Time Value of Money. Fundamental. Chapter 2. How to Calculate Present Values McGraw-Hill/Irwin Chaper 2 How o Calculae Presen Values Principles of Corporae Finance Tenh Ediion Slides by Mahew Will And Bo Sjö 22 Copyrigh 2 by he McGraw-Hill Companies, Inc. All righs reserved. Fundamenal

More information

GUIDELINE Solactive Gold Front Month MD Rolling Futures Index ER. Version 1.1 dated April 13 th, 2017

GUIDELINE Solactive Gold Front Month MD Rolling Futures Index ER. Version 1.1 dated April 13 th, 2017 GUIDELINE Solacive Gold Fron Monh MD Rolling Fuures Index ER Version 1.1 daed April 13 h, 2017 Conens Inroducion 1 Index specificaions 1.1 Shor name and ISIN 1.2 Iniial value 1.3 Disribuion 1.4 Prices

More information

Moving Upstream GUNR THE CASE FOR GLOBAL UPSTREAM NATURAL RESOURCES RISK MANAGEMENT

Moving Upstream GUNR THE CASE FOR GLOBAL UPSTREAM NATURAL RESOURCES RISK MANAGEMENT THE CASE FOR GLOBAL UPSTREAM NATURAL RESOURCES Moving Upsream GUNR RISK MANAGEMENT A key consideraion for invesors is he disincion beween he upsream and downsream componens of he naural resource supply

More information

Suggested Template for Rolling Schemes for inclusion in the future price regulation of Dublin Airport

Suggested Template for Rolling Schemes for inclusion in the future price regulation of Dublin Airport Suggesed Templae for Rolling Schemes for inclusion in he fuure price regulaion of Dublin Airpor. In line wih sandard inernaional regulaory pracice, he regime operaed since 00 by he Commission fixes in

More information

A pricing model for the Guaranteed Lifelong Withdrawal Benefit Option

A pricing model for the Guaranteed Lifelong Withdrawal Benefit Option A pricing model for he Guaraneed Lifelong Wihdrawal Benefi Opion Gabriella Piscopo Universià degli sudi di Napoli Federico II Diparimeno di Maemaica e Saisica Index Main References Survey of he Variable

More information

Balance of Payments. Third quarter 2009

Balance of Payments. Third quarter 2009 Balance of Paymens Third quarer 2009 Balance of Paymens Third quarer 2009 Saisics Sweden 2009 Balance of Paymens. Third quarer 2009 Saisics Sweden 2009 Producer Saisics Sweden, Balance of Paymens and

More information

MONETARY POLICY IN MEXICO. Monetary Policy in Emerging Markets OECD and CCBS/Bank of England February 28, 2007

MONETARY POLICY IN MEXICO. Monetary Policy in Emerging Markets OECD and CCBS/Bank of England February 28, 2007 MONETARY POLICY IN MEXICO Moneary Policy in Emerging Markes OECD and CCBS/Bank of England February 8, 7 Manuel Ramos-Francia Head of Economic Research INDEX I. INTRODUCTION II. MONETARY POLICY STRATEGY

More information

PRESS RELEASE EURO AREA ECONOMIC AND FINANCIAL DEVELOPMENTS BY INSTITUTIONAL SECTOR - FIRST QUARTER August 2012

PRESS RELEASE EURO AREA ECONOMIC AND FINANCIAL DEVELOPMENTS BY INSTITUTIONAL SECTOR - FIRST QUARTER August 2012 1 Augus 212 PRESS RELEASE EURO AREA ECONOMIC AND FINANCIAL DEVELOPMENTS BY INSTITUTIONAL SECTOR - FIRST QUARTER 212 In he firs quarer of 212, he annual growh rae 1 of households gross disposable income

More information

Volatility and Hedging Errors

Volatility and Hedging Errors Volailiy and Hedging Errors Jim Gaheral Sepember, 5 1999 Background Derivaive porfolio bookrunners ofen complain ha hedging a marke-implied volailiies is sub-opimal relaive o hedging a heir bes guess of

More information

GUIDELINE Solactive Bitcoin Front Month Rolling Futures 5D Index ER. Version 1.0 dated December 8 th, 2017

GUIDELINE Solactive Bitcoin Front Month Rolling Futures 5D Index ER. Version 1.0 dated December 8 th, 2017 GUIDELINE Solacive Bicoin Fron Monh Rolling Fuures 5D Index ER Version 1.0 daed December 8 h, 2017 Conens Inroducion 1 Index specificaions 1.1 Shor name and ISIN 1.2 Iniial value 1.3 Disribuion 1.4 Prices

More information

Spring 2011 Social Sciences 7418 University of Wisconsin-Madison

Spring 2011 Social Sciences 7418 University of Wisconsin-Madison Economics 32, Sec. 1 Menzie D. Chinn Spring 211 Social Sciences 7418 Universiy of Wisconsin-Madison Noes for Econ 32-1 FALL 21 Miderm 1 Exam The Fall 21 Econ 32-1 course used Hall and Papell, Macroeconomics

More information

CRO Forum Best Practice Paper - Extrapolation of Market Data

CRO Forum Best Practice Paper - Extrapolation of Market Data CRO Forum Bes Pracice Paper - Exrapolaion of Marke Daa Augus 00 able of conens able of conens 3. Execuive summary 4. Inroducion 6 3. Principles of Exrapolaion 9 4. Exrapolaion of ineres rae curve 6 5.

More information

Documentation: Philadelphia Fed's Real-Time Data Set for Macroeconomists First-, Second-, and Third-Release Values

Documentation: Philadelphia Fed's Real-Time Data Set for Macroeconomists First-, Second-, and Third-Release Values Documenaion: Philadelphia Fed's Real-Time Daa Se for Macroeconomiss Firs-, Second-, and Third-Release Values Las Updaed: December 16, 2013 1. Inroducion We documen our compuaional mehods for consrucing

More information

Problem Set 1 Answers. a. The computer is a final good produced and sold in Hence, 2006 GDP increases by $2,000.

Problem Set 1 Answers. a. The computer is a final good produced and sold in Hence, 2006 GDP increases by $2,000. Social Analysis 10 Spring 2006 Problem Se 1 Answers Quesion 1 a. The compuer is a final good produced and sold in 2006. Hence, 2006 GDP increases by $2,000. b. The bread is a final good sold in 2006. 2006

More information

Stock Market Behaviour Around Profit Warning Announcements

Stock Market Behaviour Around Profit Warning Announcements Sock Marke Behaviour Around Profi Warning Announcemens Henryk Gurgul Conen 1. Moivaion 2. Review of exising evidence 3. Main conjecures 4. Daa and preliminary resuls 5. GARCH relaed mehodology 6. Empirical

More information

The Correlation Risk Premium: Term Structure and Hedging

The Correlation Risk Premium: Term Structure and Hedging : erm Srucure and Hedging Gonçalo Faria (1),* and Rober Kosowski (2),* (1) CEF.UP, Universiy of Poro; (2) Imperial College Business School, CEPR, Oxford-Man Insiue of Quaniaive Finance. Nespar Inernaional

More information

1. Interest Rate Gap. Duration

1. Interest Rate Gap. Duration . Ineres Rae Gap. Duraion Mauriy Gap Problem. Mauriy Gap A bank invess $00 million in 3-year, 0% fixed rae bonds (assume hese are all asses) In he same ime, i issuses $90 million in -year, 0% percen fixed

More information

UCLA Department of Economics Fall PhD. Qualifying Exam in Macroeconomic Theory

UCLA Department of Economics Fall PhD. Qualifying Exam in Macroeconomic Theory UCLA Deparmen of Economics Fall 2016 PhD. Qualifying Exam in Macroeconomic Theory Insrucions: This exam consiss of hree pars, and you are o complee each par. Answer each par in a separae bluebook. All

More information

Using external balance sheets to identify macro-economic imbalances in the euro area

Using external balance sheets to identify macro-economic imbalances in the euro area Using exernal balance shees o idenify macro-economic imbalances in he euro area Evere, Mary * Cenral Bank of Ireland, Saisics Division Spencer Dock, Norhwall Quay Dublin 1, Ireland E-mail: mary.evere@cenralbank.ie

More information

INSTITUTE OF ACTUARIES OF INDIA

INSTITUTE OF ACTUARIES OF INDIA INSTITUTE OF ACTUARIES OF INDIA EXAMINATIONS 05 h November 007 Subjec CT8 Financial Economics Time allowed: Three Hours (14.30 17.30 Hrs) Toal Marks: 100 INSTRUCTIONS TO THE CANDIDATES 1) Do no wrie your

More information

Aggregate Demand Aggregate Supply 1 Y. f P

Aggregate Demand Aggregate Supply 1 Y. f P ublic Aairs 974 Menzie D. Chinn Fall 202 Social Sciences 748 Universiy o Wisconsin-Madison Aggregae Demand Aggregae Supply. The Basic Model wih Expeced Inlaion Se o Zero Consider he hillips curve relaionship:

More information

Principles of Finance CONTENTS

Principles of Finance CONTENTS Principles of Finance CONENS Value of Bonds and Equiy... 3 Feaures of bonds... 3 Characerisics... 3 Socks and he sock marke... 4 Definiions:... 4 Valuing equiies... 4 Ne reurn... 4 idend discoun model...

More information

ECONOMIC GROWTH. Student Assessment. Macroeconomics II. Class 1

ECONOMIC GROWTH. Student Assessment. Macroeconomics II. Class 1 Suden Assessmen You will be graded on he basis of In-class aciviies (quizzes worh 30 poins) which can be replaced wih he number of marks from he regular uorial IF i is >=30 (capped a 30, i.e. marks from

More information

The Global Factor in Neutral Policy Rates

The Global Factor in Neutral Policy Rates The Global acor in Neural Policy Raes Some Implicaions for Exchange Raes Moneary Policy and Policy Coordinaion Richard Clarida Lowell Harriss Professor of Economics Columbia Universiy Global Sraegic Advisor

More information

Labor Cost and Sugarcane Mechanization in Florida: NPV and Real Options Approach

Labor Cost and Sugarcane Mechanization in Florida: NPV and Real Options Approach Labor Cos and Sugarcane Mechanizaion in Florida: NPV and Real Opions Approach Nobuyuki Iwai Rober D. Emerson Inernaional Agriculural Trade and Policy Cener Deparmen of Food and Resource Economics Universiy

More information

Macroeconomics. Part 3 Macroeconomics of Financial Markets. Lecture 8 Investment: basic concepts

Macroeconomics. Part 3 Macroeconomics of Financial Markets. Lecture 8 Investment: basic concepts Macroeconomics Par 3 Macroeconomics of Financial Markes Lecure 8 Invesmen: basic conceps Moivaion General equilibrium Ramsey and OLG models have very simple assumpions ha invesmen ino producion capial

More information

Advanced Forecasting Techniques and Models: Time-Series Forecasts

Advanced Forecasting Techniques and Models: Time-Series Forecasts Advanced Forecasing Techniques and Models: Time-Series Forecass Shor Examples Series using Risk Simulaor For more informaion please visi: www.realopionsvaluaion.com or conac us a: admin@realopionsvaluaion.com

More information

The Empirical Study about Introduction of Stock Index Futures on the Volatility of Spot Market

The Empirical Study about Introduction of Stock Index Futures on the Volatility of Spot Market ibusiness, 013, 5, 113-117 hp://dx.doi.org/10.436/ib.013.53b04 Published Online Sepember 013 (hp://www.scirp.org/journal/ib) 113 The Empirical Sudy abou Inroducion of Sock Index Fuures on he Volailiy of

More information

Guideline relating to Sharpe Plus Index Euro

Guideline relating to Sharpe Plus Index Euro Guideline relaing o Sharpe Plus Index Euro Version 1.0 daed April 15, 2016 1 Imporan Informaion The general rules of he Sharpe Plus Index Euro (he Index ) as of April 2016 are se ou in full below. I should

More information

APRA Research Methodology for Analysis of Superannuation Funds

APRA Research Methodology for Analysis of Superannuation Funds Curren Research Quesions APRA Research Mehodology for Analysis of Superannuaion Funds Wha are he deerminans of he cross-secional variaion in superannuaion reurns? Asse allocaion, manager skill, expenses/axes

More information

Evaluating Projects under Uncertainty

Evaluating Projects under Uncertainty Evaluaing Projecs under Uncerainy March 17, 4 1 Projec risk = possible variaion in cash flows 2 1 Commonly used measure of projec risk is he variabiliy of he reurn 3 Mehods of dealing wih uncerainy in

More information

Comparison of back-testing results for various VaR estimation methods. Aleš Kresta, ICSP 2013, Bergamo 8 th July, 2013

Comparison of back-testing results for various VaR estimation methods. Aleš Kresta, ICSP 2013, Bergamo 8 th July, 2013 Comparison of back-esing resuls for various VaR esimaion mehods, ICSP 3, Bergamo 8 h July, 3 THE MOTIVATION AND GOAL In order o esimae he risk of financial invesmens, i is crucial for all he models o esimae

More information

An Analysis of Trend and Sources of Deficit Financing in Nepal

An Analysis of Trend and Sources of Deficit Financing in Nepal Economic Lieraure, Vol. XII (8-16), December 014 An Analysis of Trend and Sources of Defici Financing in Nepal Deo Narayan Suihar ABSTRACT Defici financing has emerged as an imporan ool of financing governmen

More information

The Death of the Phillips Curve?

The Death of the Phillips Curve? The Deah of he Phillips Curve? Anhony Murphy Federal Reserve Bank of Dallas Research Deparmen Working Paper 1801 hps://doi.org/10.19/wp1801 The Deah of he Phillips Curve? 1 Anhony Murphy, Federal Reserve

More information

Watch out for the impact of Scottish independence opinion polls on UK s borrowing costs

Watch out for the impact of Scottish independence opinion polls on UK s borrowing costs Wach ou for he impac of Scoish independence opinion polls on UK s borrowing coss Cosas Milas (Universiy of Liverpool; email: cosas.milas@liverpool.ac.uk) and Tim Worrall (Universiy of Edinburgh; email:

More information

An Analytical Implementation of the Hull and White Model

An Analytical Implementation of the Hull and White Model Dwigh Gran * and Gauam Vora ** Revised: February 8, & November, Do no quoe. Commens welcome. * Douglas M. Brown Professor of Finance, Anderson School of Managemen, Universiy of New Mexico, Albuquerque,

More information

CHAPTER CHAPTER26. Fiscal Policy: A Summing Up. Prepared by: Fernando Quijano and Yvonn Quijano

CHAPTER CHAPTER26. Fiscal Policy: A Summing Up. Prepared by: Fernando Quijano and Yvonn Quijano Fiscal Policy: A Summing Up Prepared by: Fernando Quijano and vonn Quijano CHAPTER CHAPTER26 2006 Prenice Hall usiness Publishing Macroeconomics, 4/e Olivier lanchard Chaper 26: Fiscal Policy: A Summing

More information

Do Changes in Pension Incentives Affect Retirement? A Longitudinal Study of Subjective Retirement Expectations

Do Changes in Pension Incentives Affect Retirement? A Longitudinal Study of Subjective Retirement Expectations Do Changes in Pension Incenives Affec Reiremen? A Longiudinal Sudy of Subjecive Reiremen Expecaions February 2001 Sewin Chan Rober F. Wagner School of Public Service New York Universiy sewin.chan@nyu.edu

More information

Quantitative methods in risk management. Introduction part 2

Quantitative methods in risk management. Introduction part 2 Quaniaive mehods in risk managemen Inroducion par 2 Risk idenificaion LP purchased ŽR bond wih a fixed coupon of 4% and mauriy 5 years. This invesmen has been financed by reail erm deposis wih remaining

More information

Chapter 10: The Determinants of Dividend Policy

Chapter 10: The Determinants of Dividend Policy Chaper 10: The Deerminans of Dividend Policy 1. True True False 2. This means ha firms generally prefer no o change dividends, paricularly downwards. One explanaion for his is he clienele hypohesis. Tha

More information

Memorandum of Understanding

Memorandum of Understanding MoU producer_buyer_faciliaor.doc Dae Memorandum of Undersanding beween: he producer organisaion: < of organisaion> he rading parner: < of rading parner> and he faciliaing organisaion: < of faciliaing organisaion>

More information

The Impact of Interest Rate Liberalization Announcement in China on the Market Value of Hong Kong Listed Chinese Commercial Banks

The Impact of Interest Rate Liberalization Announcement in China on the Market Value of Hong Kong Listed Chinese Commercial Banks Journal of Finance and Invesmen Analysis, vol. 2, no.3, 203, 35-39 ISSN: 224-0998 (prin version), 224-0996(online) Scienpress Ld, 203 The Impac of Ineres Rae Liberalizaion Announcemen in China on he Marke

More information

ANSWER ALL QUESTIONS. CHAPTERS 6-9; (Blanchard)

ANSWER ALL QUESTIONS. CHAPTERS 6-9; (Blanchard) ANSWER ALL QUESTIONS CHAPTERS 6-9; 18-20 (Blanchard) Quesion 1 Discuss in deail he following: a) The sacrifice raio b) Okun s law c) The neuraliy of money d) Bargaining power e) NAIRU f) Wage indexaion

More information

Money-Back Guarantees in Individual Pension Accounts: Evidence from the German Pension Reform

Money-Back Guarantees in Individual Pension Accounts: Evidence from the German Pension Reform Money-Back Guaranees in Individual Pension Accouns: Evidence from he German Pension Reform Raimond Maurer and Chrisian Schlag PRC WP 22-11 Pension Research Council Working Paper Pension Research Council

More information

Macroeconomics. Typical macro questions (I) Typical macro questions (II) Methodology of macroeconomics. Tasks carried out by macroeconomists

Macroeconomics. Typical macro questions (I) Typical macro questions (II) Methodology of macroeconomics. Tasks carried out by macroeconomists Macroeconomics Macroeconomics is he area of economics ha sudies he overall economic aciviy in a counry or region by means of indicaors of ha aciviy. There is no essenial divide beween micro and macroeconomics,

More information

Pricing Vulnerable American Options. April 16, Peter Klein. and. Jun (James) Yang. Simon Fraser University. Burnaby, B.C. V5A 1S6.

Pricing Vulnerable American Options. April 16, Peter Klein. and. Jun (James) Yang. Simon Fraser University. Burnaby, B.C. V5A 1S6. Pricing ulnerable American Opions April 16, 2007 Peer Klein and Jun (James) Yang imon Fraser Universiy Burnaby, B.C. 5A 16 pklein@sfu.ca (604) 268-7922 Pricing ulnerable American Opions Absrac We exend

More information

Bank of Japan Review. Performance of Core Indicators of Japan s Consumer Price Index. November Introduction 2015-E-7

Bank of Japan Review. Performance of Core Indicators of Japan s Consumer Price Index. November Introduction 2015-E-7 Bank of Japan Review 5-E-7 Performance of Core Indicaors of Japan s Consumer Price Index Moneary Affairs Deparmen Shigenori Shirasuka November 5 The Bank of Japan (BOJ), in conducing moneary policy, employs

More information

Analyzing Surplus Appropriation Schemes in Participating Life Insurance from the Insurer s and the Policyholder s Perspective

Analyzing Surplus Appropriation Schemes in Participating Life Insurance from the Insurer s and the Policyholder s Perspective Analyzing Surplus Appropriaion Schemes in Paricipaing Life Insurance from he Insurer s and he Policyholder s Perspecive AFIR Colloquium Madrid, Spain June 22, 2 Alexander Bohner and Nadine Gazer Universiy

More information

Economic Growth Continued: From Solow to Ramsey

Economic Growth Continued: From Solow to Ramsey Economic Growh Coninued: From Solow o Ramsey J. Bradford DeLong May 2008 Choosing a Naional Savings Rae Wha can we say abou economic policy and long-run growh? To keep maers simple, le us assume ha he

More information

Unemployment and Phillips curve

Unemployment and Phillips curve Unemploymen and Phillips curve 2 of The Naural Rae of Unemploymen and he Phillips Curve Figure 1 Inflaion versus Unemploymen in he Unied Saes, 1900 o 1960 During he period 1900 o 1960 in he Unied Saes,

More information

Portfolio Risk of Chinese Stock Market Measured by VaR Method

Portfolio Risk of Chinese Stock Market Measured by VaR Method Vol.53 (ICM 014), pp.6166 hp://dx.doi.org/10.1457/asl.014.53.54 Porfolio Risk of Chinese Sock Marke Measured by VaR Mehod Wu Yudong School of Basic Science,Harbin Universiy of Commerce,Harbin Email:wuyudong@aliyun.com

More information

Research on Optimization Strategy of CPPI

Research on Optimization Strategy of CPPI MPRA Munich Personal RePEc Archive Research on Opimizaion Sraegy of CPPI Baoyuan HU and Dima TAWIL and Xiyang LIU Rennes schcool of business, Rennes school of business, XI Dian Universiy 18 Online a hps://mpra.ub.uni-muenchen.de/8756/

More information

Optimal Early Exercise of Vulnerable American Options

Optimal Early Exercise of Vulnerable American Options Opimal Early Exercise of Vulnerable American Opions March 15, 2008 This paper is preliminary and incomplee. Opimal Early Exercise of Vulnerable American Opions Absrac We analyze he effec of credi risk

More information

A Simple Method for Consumers to Address Uncertainty When Purchasing Photovoltaics

A Simple Method for Consumers to Address Uncertainty When Purchasing Photovoltaics A Simple Mehod for Consumers o Address Uncerainy When Purchasing Phoovolaics Dr. Thomas E. Hoff Clean Power Research 10 Glen C. Napa, CA 94558 www.clean-power.com Dr. Rober Margolis Naional Renewable Energy

More information