TRACKING ERROR: an Essential Tool in Evaluating Index Funds

Total Page:16

File Type:pdf, Size:1020Kb

TRACKING ERROR: an Essential Tool in Evaluating Index Funds JOURNAL OF INVESTMENT CONSULTING TRACKING ERROR: An Essential Tool in Evaluating Index Funds By Chris Tobe, CFA As the dollars being indexed grow and portfolio management becon1es more sophisticated, consultants should demand tighter tracking to the index in question from their index n1anagers. In fact, the key to assessiI1g index fund managers is determining if their performance has tracked their benchmarks within reasonable tolerances. The alltl10r reviews what is known about this aspect of performance evaluation. He also sl1ares 11is experie11ce in detern1ining what factors caused a difference in performance for a $3 billion S&P 500 index fund. This article is based on a study written by the author and should be no attempt to outperform the index or Dr. Ken Miller for Kentucky State Auditor Edward B. bencl1mark. William F Sharpe holds that a passive Hatchett Jr. The study was reported in the July 27, 1998, strategy requires the manager issue of Pensions and Investments. Earlier versions of this ... to hold every security from the market, with each article were presented at two conferences on indexing. represented in the same manner as in the n1arket. Thus, if security X represents 3 percent of the value ver $1 trillion is now being managed of the securities in the market, a passive investor's within index funds. Lipper lists the portfolio will have 3 percent of its value invested in Vanguard 500 Index fund as the second X. Equivalently; a passive manager will hold the same percentage of the total outstanding amount of largest stock fllnd in the world with a each security in the market. 1 value of over $91 billio11 as of August 31. Frank Vanguard's website Cwww.vanguard.com) glos­ Russell Company recently reported that its top sary defilles index investing as "an investment strat­ institutional clients had over 46 perce11t of their egy involving the creation of a portfolio tailored as U.s. equity portfolios indexed, with 29 percent of closely as possible to match the perforn1ance of a their non-U.S. stock portfolios and 9 percent of specific stock or bond market index... and thus their fixed income portfolios n1anaged passively expected to provide a highly predictable return rel­ Russell attributes tllis growth ill dollars indexed to ative to the specific benchmarks...." the demand for lower asset management fees and This brings us to the issue of modifying an transaction costs, increased market efficiency, as indexed portfolio. Some indexing managers will well as the development of more benchmark index­ drop issues because it isn't practical to buy all the es. Witl1 many new entrants into index manage­ securities in the index. This practice is acceptable if ment and many plan sponsors themselves indexing, tlle mallager is using optimization or sampling tech­ new standards of performance evaluation need to niques that blind the manager to any security analy­ be established. sis factors. Other managers, however, use this selec­ tion process to enhance the overall return on the What Is an Index Fund? portfolio. The question for consultants is "to what imply put, index funds are paSSively man­ degree does this practice change the management of aged portfolios. This strategy seeks only to tl1e portfolio to an active style?" At the 1998 AIMR match the composition and investment annual conference, Vanguard's ]ol1n Bogle said that return of a specific stock, bond, or other tlle inte11t of the manager is the important distinc­ market index or performance benchmark. There tion. Modification could be acceptable, he 8 THE]OURNAL OF INVESTMENT CONSULTING © 1999 Investment Management Consultants Association Inc. Reprint with permission only. JOURNAL OF INVESTMENT CONSULTING explained, if the intent is to mirror the index. But ties) should have higher tracking error over once a manager taints the intent with any active short periods, but this should revert to zero over decision other th.an n1irroring, then the fund is no longer periods. longer passively managed. According to Bogle, a Since non-mean reverting tracking error is manager who tries to track a 1000 stock index by largely associated with fees and other costs, all of sampling with 300 stocks is still indexil1g. Anot11er the higher fee retail fU11ds tend to have negative manager who holds 497 stocks of the S&P 500 tracking error. Trading costs within the funds would index and substitutes the other thTee with tobacco lead to non-mean reverting tracking error. Always stocks in the hope that they will increase in value is maintaining a cash position creates long-term nega­ actively il1vesting, not indexing. tive tracking error, but the error could be positive over shorter periods. What Is Tracking Error? A11drew England discussed the causes of track­ lthough tracking error is not a new con­ ing error in an article on a United Kingdom website: cept, it is still not widely understood by One-third of index tracker funds fail to deliver ade­ many buyers of index funds. "Trackil1g quate performance according to Reuters error" can be defined as the percentage Hindsights performance differe11ce il1 total return between an index fund n1easurement service. This AmOUGH a11d the benchmarking index the fund was designed is based on the consisten­ to replicate. Even if a self-styled index manager out­ cy and persistency of pas­ TRACKING ERROR performs the deSignated benchmark, the difference sive funds in producing in performance is tracking error. returns that match their In the literature and among investment profes­ benchmarks. Factors that IS NOTA NEW sionals, the concept is sometimes addressed using can create performance differe11t terms. At the IMN-Fabozzi Superbowl of inefficiencies in trackers CONCEPT, IT IS Indexing conference in December 1998, Charles include the methods used Galligan, who writes the Bear Stearns I11dex by managers, dividends, STILL NOT WIDELY Forecast, referred more precisely to "index tracking taxes, and the size of funds. The approach used error." At the April 1999 IRR Global Indexing UNDERSTOOD BY by a passive fund (whether Summit in Bermuda, John Goodwin of Northern sampling, full replication, MANY OF Trust Quantitative Advisors broke tl1e concept or derivative style) and the BUYERS down to mean reverting and non-mean reverting changing composition of tracking error. Mean reverting can be positive or indices can also affect per­ INDEX FUNDS. negative, usually reverting back to zero over longer formance. The 111easure­ periods. Non-mean reverting is always negative, is ment of a tracker is based never recovered, and is best exemplified by fees and on the certainty of performance returns rather than transaction costs. the probability of performance. With an actively In this article, tracking error is defined as the managed one, you attempt to distinguish whether perce11tage difference in total return. between an the performance is due to skill or luck. With an index fund and its benchmark index. index tracker, researchers are trying to judge if a tracking error is due to the investment process or to random factors. There are two elements to this. The The Causes of Tracking Error first being whether the actual returns are in line with oodwin's mean reverting/non-mean benchmarks. The second is calculating the amount reverting categories help us examine the of tracking error, and any relative volatility is lon.g-term effects of tracking error. Mean deemed as negative. 2 reverting tracking errors are primarily Vanguard's website also discusses this issue the result of not holding the exact weighting of each under Myths on IndeXing: security in the index. It is assumed that iI1 the long Some fund sponsors are offering index funds with run all securities in an index will have performances cut-rate expense ratios in an effort to market the similar to the index and revert to the mean. A port­ "lowest cost index funds." Be wary of this practice for two reasons: folio sampling strategy (not holding all the securi­ VOL. 2, NO.1, NOVEMBER 1999 9 © 1999 Investment Management Consultants Association Inc. Reprint with permission only. JOURNAL OF INVESTMENT CONSULTING First, such funds are likely to raise their expense Galligan suggested that there could be 5 to 13 basis ratios-without warning-after a period of time. points inherent in managing an index fund: 3 to 5 Second, the performance of an index fund is from commissions, 2 to 3 from dividends, up to 3 affected not only by its expense ratio, but by from cash flows, and up to 2 basis points from factors such as brokerage costs and fund manage­ changes in the benchmarked index. ment practices. John Rerlkthaler of Mornin.gstar has years of Thus, those funds without adept management experience researching index funds. He has sug­ may have a higher tracking error relative to their tar­ gested some rough rules of thun1b for evaluation: get benchmark. S&P 500, ±50 basis points (including expenses); REIT or MidCap, 100 to 150 basis points; and Different Standards for Different Funds Russell 2000 or another sn1all cap index, 200 he tolerance for tracking error depends on basis points. many factors, but the most important is The reasons for these different standards are the index to be tracked and the size of the easily explained. How expensive is it to purchase fund. The S&P 500 has by far the most the securities contained in the benchmarked index? funds indexed to it. Most investment professionals, What about a manager's experience? Th.ere is a lot including Bogle, agree that funds indexed to it more historical experience in. rUl1.ning an S&P 500 should be held to higher standards with respect index fund than in running a smaller cap or to tracking error. Gus Sauter of Vanguard has this REIT fund.
Recommended publications
  • Asset and Risk Allocation Policy
    ____________________________________________________________________________ UNIVERSITY OF CALIFORNIA GENERAL ENDOWMENT POOL ASSET AND RISK ALLOCATION POLICY Approved March 15, 2018 ______________________________________________________________________________ UNIVERSITY OF CALIFORNIA GENERAL ENDOWMENT POOL ASSET AND RISK ALLOCATION POLICY POLICY SUMMARY/BACKGROUND The purpose of this Asset and Risk Allocation Policy (“Policy”) is to define the asset types, strategic asset allocation, risk management, benchmarks, and rebalancing for the University of California General Endowment Pool (“GEP”). The Investments Subcommittee has consent responsibilities over this policy. POLICY TEXT ASSET CLASS TYPES Below is a list of asset class types in which the GEP may invest so long as they do not conflict with the constraints and restrictions described in the GEP Investment Policy Statement. The criteria used to determine which asset classes may be included are: Positive contribution to the investment objective of GEP Widely recognized and accepted among institutional investors Low cross correlations with some or all of the other accepted asset classes Based on the criteria above, the types of assets for building the portfolio allocation are: 1. Public Equity Includes publicly traded common and preferred stock of issuers domiciled in US, Non-US, and Emerging (and Frontier) Markets. The objective of the public equity portfolio is to generate investment returns with adequate liquidity through a globally diversified portfolio of common and preferred stocks. 2. Liquidity (Income) Liquidity includes a variety of income related asset types. The portfolio will invest in interest bearing and income based instruments such as corporate and government bonds, high yield debt, emerging markets debt, inflation linked securities, cash and cash equivalents. The portfolio can hold a mix of traditional (benchmark relative) strategies and unconstrained (benchmark agnostic) strategies.
    [Show full text]
  • Tracking Error
    India Index Services & Products Ltd. Tracking Error TRACKING ERROR An Index Fund is a mutual fund scheme that invests in the securities in the target Index in the same proportion or weightage of the securities as it bears to the target index. The investment objective of an index fund is to achieve returns which are commensurate to that of the target Index. An investment manager attempts to replicate the investment results of the target index by holding all the securities in the Index. Though Index Funds are designed to provide returns that closely track the benchmarked Index, Index Funds carry all the risks associated with the type of asset the fund holds. Indexing merely ensures that the returns of the Index Fund will not stray far from the returns on the Index that the fund mimics. Still there are instances, which are mentioned below, that leads to mismatch of the returns of the index with that of the fund. This mismatch or the difference in the returns of the Index with that of the fund is known as Tracking Error. Tracking Error Tracking error is defined as the annualised standard deviation of the difference in returns between the Index fund and its target Index. In simple terms, it is the difference between returns from the Index fund to that of the Index. An Index fund manager needs to calculate his tracking error on a daily basis especially if it is open-ended fund. Lower the tracking error, closer are the returns of the fund to that of the target Index.
    [Show full text]
  • Hedging Climate Risk Mats Andersson, Patrick Bolton, and Frédéric Samama
    AHEAD OF PRINT Financial Analysts Journal Volume 72 · Number 3 ©2016 CFA Institute PERSPECTIVES Hedging Climate Risk Mats Andersson, Patrick Bolton, and Frédéric Samama We present a simple dynamic investment strategy that allows long-term passive investors to hedge climate risk without sacrificing financial returns. We illustrate how the tracking error can be virtually eliminated even for a low-carbon index with 50% less carbon footprint than its benchmark. By investing in such a decarbonized index, investors in effect are holding a “free option on carbon.” As long as climate change mitigation actions are pending, the low-carbon index obtains the same return as the benchmark index; but once carbon dioxide emissions are priced, or expected to be priced, the low-carbon index should start to outperform the benchmark. hether or not one agrees with the scientific the climate change debate is not yet fully settled and consensus on climate change, both climate that climate change mitigation may not require urgent Wrisk and climate change mitigation policy attention. The third consideration is that although the risk are worth hedging. The evidence on rising global scientific evidence on the link between carbon dioxide average temperatures has been the subject of recent (CO2) emissions and the greenhouse effect is over- debates, especially in light of the apparent slowdown whelming, there is considerable uncertainty regarding in global warming over 1998–2014.1 The perceived the rate of increase in average temperatures over the slowdown has confirmed the beliefs of climate change next 20 or 30 years and the effects on climate change. doubters and fueled a debate on climate science There is also considerable uncertainty regarding the widely covered by the media.
    [Show full text]
  • Tracking Error and the Information Ratio
    It Is More Than]ust Performance: TRACKING ERROR AND THE INFORMATION RATIO By Jay L. Shein, Ph.D., ClMA, CFP ONE OF OUR MOST POPULAR CONTRIBUTORS REVIEWS SOME QUANTITATIVE TECHNIQUES THAT CAN ASSIST THE CONSULTANT IN MANAGER SELECTIONS AND IN ASSET ALLOCATION DESIGN. Introduction properly these statistical measures can be dentifying and selecting the most appropri­ useful tools. ate mutual fund or money manager to use Tracking error was defined by Tobe (1999) as in an investor's portfolio are major aspects the percentage difference in total return between of the investment consultants responsibili­ an index fund and the benchmark index the fund ties. This is true for both active and passive was designed to replicate. This definition of track­ money manager searches and selection. ing error is best used for evaluation of a passive When searching for and selecting money man­ manager such as an index fund. Tracking error agers, consultants and investment advisors typical­ used in the context of active manager evaluation is ly look at both qualitative and quantitative infor­ better defined as active manager risk. For purpos­ mation before making their recommendations. The es of this commentary, tracking error is defined as investment consultant knows that items such as the standard deviation between two return series philosophy, process, people, and strategic business written as: 1 plans are important, if not sometimes more impor­ tant than historical performance. Even though the qualitative side is important, the investment con­ TE= i-I sultant will ultimately use some quantitative mea­ N-l sure such as a ratio, statistic, risk-adjusted measure of performance, and/or absolute performance to Where: validate the qualitative component of money man­ IE = Tracking Error ager search and selection.
    [Show full text]
  • Risk Attribution and Portfolio Performance Measurement$An Overview 1
    Risk Attribution and Portfolio Performance Measurement-An Overview Yongli Zhang Department of Economics University of California, Santa Barbara, CA93016, USA Svetlozar Rachev Department of Econometrics and Statistics University of Karlsruhe, D-76128 Karlsruhe, Germany and Department of Statistics and Applied Probability University of California, Santa Barbara, CA93106, USA September, 2004 Abstract A major problem associated with risk management is that it is very hard to identify the main resource of risk taken, especially in a large and complex portfolio. This is due to the fact that the risk of individual securities in the portfolio, measured by most of the widely used risk measures such as standard deviation and value-at-risk, don’t sum up to the total risk of the portfolio. Although the risk measure of beta in the Capital Asset Pricing Model seems to survive this major de…ciency, it su¤ers too much from other pitfalls to become a satis- factory solution. Risk attribution is a methodology to decompose the total risk of a portfolio into smaller terms. It can be applied to any positive homogeneous risk measures, even free of models. The problem is solved in a way that the smaller decomposed units of the total risk are interpreted as the risk contribution of the corresponding subsets of the portfolio. We present here an overview of the methodology of risk attribution, di¤erent risk measures and their properties. S. Rachev’s research was supported by grants from Division of Mathematical, Life and Physical Sciences, College of Letters and Science, University of California at Santa Barbara and the Deutschen Forschungsgemeinschaft.
    [Show full text]
  • Understanding Active Risk and Tracking Error by Commonfund |
    Quant Corner: Understanding Active Risk and Tracking Error by Commonfund | www.commonfund.org Investors frequently focus on the total return they Yet good performance and bad performance should not be experience in their portfolios. In periods when absolute evaluated in a vacuum, they should be evaluated relative to returns are high, they feel good; in periods when the risks undertaken in their portfolios. Indeed, these risks absolute returns are low, they feel bad. are typically reflected in the investor’s benchmark, or policy portfolio which embodies the tradeoffs between an inves- tor’s appetite for risk and desire for return over long periods of time. For instance, an investor may feel that a 70% MSCI ACWI Global Equity Index/30% Barclays U.S. Aggregate Bond Index (70/30) benchmark appropriately captures this tension. When equity outperforms fixed income, the 70/30 investor would be expected to trail an 80/20 portfolio and beat a 60/40 portfolio. Appropriate benchmarking is the first step in the investment decision-making process. Quant Corner: Understanding Active Risk and Tracking Error Past performance is not indicative of future results. Source: Commonfund Research The second step is measuring performance relative to that The first chart shows rolling 12-month absolute and active benchmark. This requires a shift in frame of reference from returns for this custom portfolio. absolute return and absolute risk to active return and active risk.1 Active return equals the difference in return between It is evident from the chart that both absolute returns and a portfolio and its benchmark. Tracking error, as active risk active returns vary significantly over time and, furthermore, is more commonly called, measures the volatility of active that the volatility of absolute and active returns also changes returns.
    [Show full text]
  • Lazard UK Omega Equity Fund B Dist
    Lazard July 2019 UK Omega Equity Fund Fact Sheet B Dist GBP Share Class A sub-fund of Lazard Global Active Funds PLC, a Dublin-based OEIC Performance Data (Annualised Return* in GBP % p.a.) Periods ended 31 July 2019 12 Months ended 31 December 1M 3M YTD 1Y 3Y 5Y 10Y 2018 2017 2016 2015 2014 Lazard UK Omega Equity Fund -0.3 -1.2 11.3 -6.6 4.5 3.8 6.4 -16.0 12.6 15.7 -2.2 -0.4 Quartile 4 4 4 4 4 4 4 4 2 2 4 4 MStar UK Large-Cap Blend Equity 2.0 2.1 15.1 0.5 7.3 6.1 9.4 -9.8 11.6 13.1 2.4 1.0 FTSE All-Share Index 2.0 2.6 15.2 1.3 8.3 6.8 9.6 -9.5 13.1 16.8 1.0 1.2 Source: Morningstar, NAV to NAV basis, Net Income Reinvested, Net of Fees. Past performance is not a reliable indicator of future results. *Performance data for periods less than 1 year is illustrated on a cumulative growth basis. Investors may be liable to taxation on the income from the fund, depending upon their personal circumstances. The effect of taxation would have been to reduce the returns stated. £100 Invested Over Five Years 145 130 115 100 85 Jul 2014 Jul 2015 Jul 2016 Jul 2017 Jul 2018 Jul 2019 Lazard UK Omega Equity Fund (20.78%) FTSE All-Share Index (38.95%) MStar UK Large-Cap Blend Equity (34.84%) Source: Morningstar, Cumulative Growth, NAV to NAV Price, Net of fees, Net Income Reinvested to 31 July 2019 in GBP.
    [Show full text]
  • How to Manage Tracking Error with Greater Certainty
    Hillsdale Investment Management Inc. How to Manage Tracking MayError 2014 with Greater Certainty White Paper Series October 2015 WHITE PAPER SERIES Alfred Sum, MASc, FRM, CFA Portfolio Manager, Partner Harry Marmer, MBA, CFA Executive Vice President, Partner Chris Guthrie, BA, CFA President and CEO OCTOBER 2015 How to Manage Tracking Error with Greater Certainty Alfred Sum, Portfolio Manager, Partner, Hillsdale Investment Management Inc. Harry Marmer, Executive Vice President, Partner, Hillsdale Investment Management Inc. Chris Guthrie, President and CEO, Hillsdale Investment Management Inc. Abstract In the Canadian equity manager universe, there is no evidence that tracking error risk is proactively managed. This is especially troubling and surprising given that tracking error is an important measure of active investment management risk as it provides investors with a tool to estimate the expected variability of their manager’s value added. This paper examines two different techniques a Canadian equity manager can employ to manage tracking error risk. The first approach employs an optimization model where the objective is to control tracking error and to maximize a portfolio’s information ratio, which is an important measure of the portfolio’s risk‐adjusted active return. However, using an optimizer to control tracking error is not the ideal solution as it has limited capability in forecasting and effectively managing tracking error. Instead, we employ an intuitive multi‐strategy allocation process that manages tracking error with greater certainty providing for superior risk‐adjusted returns and consistent attributes. This approach is not only valuable for managers but for investors as well for it provides them with a higher degree of confidence that their investment managers will achieve their investment objectives resulting in superior value added adjusted for risk.
    [Show full text]
  • Is the Tracking Error Time Varying? Evidence from Agricultural Etcs
    Is the tracking error time varying? Evidence from agricultural ETCs Revised: 15 June 2019 Abstract This study conducts an extensive analysis of a recently popularized asset class, namely, exchange-traded commodities (ETCs). We demonstrate that the tracking error of ETCs is dependent on the volatility of the underlying commodity prices but not persistent. Furthermore, we find the tracking ability of agricultural ETCs is affected by the replication method and also by the leverage of the ETCs. Our findings are important for academics and market regulators, as they indicate the structure of an ETC matters for its tracking performance. Keywords: Agricultural Commodity Market, Exchange-Traded Commodities, Markov Switching Regression, Tracking Error JEL Classification: C24, G14, G23, Q14 Is the tracking error time varying? Evidence from agricultural ETCs Devmali Perera* Jedrzej Bialkowski† Martin T. Bohl‡ Revised: 15 June 2019 Abstract This study conducts an extensive analysis of a recently popularized asset class, namely, exchange-traded commodities (ETCs). We demonstrate that the tracking error of ETCs is dependent on the volatility of the underlying commodity prices but not persistent. Furthermore, we find the tracking ability of agricultural ETCs is affected by the replication method and also by the leverage of the ETCs. Our findings are important for academics and market regulators, as they indicate the structure of an ETC matters for its tracking performance. Keywords: Agricultural Commodity Market, Exchange-Traded Commodities, Markov Switching Regression, Tracking Error JEL Classification: C24, G14, G23, Q14 * Department of Economics and Finance, UC Business School, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand. Phone: +64 22 165 1494.
    [Show full text]
  • Retirement Benefits & Investment Risk Management
    ACTEX Learning Learn Today. Lead Tomorrow. ACTEX Study Manual for Retirement Benefits & Investment Risk Management Fall 2017 Edition Anna Wong, ASA, MBA ACTEX Study Manual for Retirement Benefits & Investment Risk Management Fall 2017 Edition Anna Wong, ASA, MBA ACTEX Learning New Hartford, Connecticut ACTEX Learning Learn Today. Lead Tomorrow. Actuarial & Financial Risk Resource Materials Since 1972 Copyright © 2017, ACTEX Learning, a division of SRBooks Inc. ISBN: 978-1-63588-055-7 Printed in the United States of America. No portion of this ACTEX Study Manual may be reproduced or transmitted in any part or by any means without the permission of the publisher. YOUR OPINION IS IMPORTANT TO US ACTEX is eager to provide you with helpful study material to assist you in gaining the necessary knowledge to become a successful actuary. In turn we would like your help in evaluating our manuals so we can help you meet that end. We invite you to provide us with a critique of this manual by sending this form to us at your convenience. We appreciate your time and value your input. Publication: ACTEX RB & Investment Risk Management Study Manual, Fall 2017 Edition I found Actex by: (Check one) A Professor School/Internship Program Employer Friend Facebook/Twitter In preparing for my exam I found this manual: (Check one) Very Good Good Satisfactory Unsatisfactory I found the following helpful: I found the following problems: (Please be specific as to area, i.e., section, specific item, and/or page number.) To improve this manual I would: Name: Address: Phone: E-mail: (Please provide this information in case clarification is needed.) Send to: Stephen Camilli ACTEX Learning P.O.
    [Show full text]
  • It's Time to Talk About Tracking Error
    Lazard Equity Advantage AUG Letter from the Manager 2019 It´s Time to Talk about Tracking Error, but Not for the Reason You May Think Investors are often tempted to loosen their active risk tolerance during periods of low market volatility, either in the belief that a low tracking error will fail to deliver expected returns or in the pursuit of higher active returns. When volatility is extremely low, the dispersion of individual stock returns typically compresses while cross-asset class correlation can increase as investments become influenced more by macroeconomic drivers than idiosyncratic factors. Dialling up a strategy’s active risk, or tracking error, during periods of low market volatility could result in an accumulation of unwanted and unrewarded risks at the portfolio level that leaves an investor vulnerable to sharp capital drawdowns. Our actively managed quantitative equity strategies are built around multi-dimensional risk models that seek to minimise risk factors where we believe investors are not being adequately compensated for the risk taken, and instead focus on more rewarding sources of returns. In order to understand whether the active risk being taken is being adequately compensated, it first helps to understand the drivers of tracking error. Fundamental and quantitative portfolio managers tend to stay within a range of number of stocks held in their portfolio and maximum allowable position sizes and may have certain sector and country biases. However, the other determinants of the tracking error are more prone to variations: • Market capitalisation is one area where risks are often ignored by investors. Idiosyncratic opportunities are What Is Tracking Error? typically found lower down the market capitalisation spectrum and for unconstrained investors, larger Tracking error, also known as active risk, capitalisation stocks will tend to be natural underweight measures, in standard deviation, the fluctuation holdings.
    [Show full text]
  • Performance Attribution from Bacon
    Performance Attribution from Bacon Matthieu Lestel February 5, 2020 Abstract This vignette gives a brief overview of the functions developed in Bacon(2008) to evaluate the performance and risk of portfolios that are included in PerformanceAn- alytics and how to use them. There are some tables at the end which give a quick overview of similar functions. The page number next to each function is the location of the function in Bacon(2008) Contents 1 Risk Measure 3 1.1 Mean absolute deviation (p.62) . 3 1.2 Frequency(p.64) ................................ 3 1.3 SharpeRatio(p.64)............................... 4 1.4 Risk-adjusted return: MSquared (p.67) . 4 1.5 MSquared Excess (p.68) . 4 2 Regression analysis 5 2.1 Regression equation (p.71) . 5 2.2 Regression alpha (p.71) . 5 2.3 Regression beta (p.71) . 5 2.4 Regression epsilon (p.71) . 6 2.5 Jensen'salpha(p.72) .............................. 6 2.6 SystematicRisk(p.75) ............................. 6 2.7 SpecificRisk(p.75)............................... 7 2.8 TotalRisk(p.75) ................................ 7 2.9 Treynorratio(p.75)............................... 7 2.10 Modified Treynor ratio (p.77) . 7 2.11 Appraisal ratio (or Treynor-Black ratio) (p.77) . 8 2.12 Modified Jensen (p.77) . 8 1 2.13 Fama decomposition (p.77) . 8 2.14 Selectivity (p.78) . 9 2.15 Net selectivity (p.78) . 9 3 Relative Risk 9 3.1 Trackingerror(p.78) .............................. 9 3.2 Information ratio (p.80) . 10 4 Return Distribution 10 4.1 Skewness (p.83) . 10 4.2 Sample skewness (p.84) . 10 4.3 Kurtosis(p.84) ................................
    [Show full text]