DOCSLIB.ORG

Are Momentum Profits Driven by Dividend Strategy?

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Are Momentum Profits Driven by Dividend Strategy? 2018-0859 IJOI http://www.ijoi-online.org/ ARE MOMENTUM PROFITS DRIVEN BY DIVIDEND STRATEGY? Huei-Hwa Lai Department of Finance National Yunlin University of Science and Technology, Taiwan R.O.C. Szu-Hsien Lin* Department of Finance TransWorld University, Taiwan R.O.C. *Corresponding Author: [email protected] Ai-Chi Hsu Department of Finance National Yunlin University of Science and Technology, Taiwan R.O.C. Abstract In this paper, we investigate the effects of dividend policy in determining price mo- mentum. Our evidence shows that trading strategies based on buying dividend-paying (dividend increasers, dividend cutters or dividend maintainers) stocks combined with the winner and loser momentum strategy generate positive and significant profits that are substantially higher than those from the traditional winner and loser momentum strategy. The buying-winner and selling-loser portfolios in Taiwan do not exhibit momentum profits, but exhibit contrarian profits for holding longer periods. In addi- tion, we show that dividend policy has trading effects in determining price momentum in mid-term holding period (more than 6 months). If combined with higher formation period returns (top 50 winners), the momentum profits of dividend increasers are higher than those of dividend maintainers. Finally, investors reward companies when they have a change in dividend policy rather than just maintain their dividend levels. Keywords: Finance, Dividend Policy, Price Momentum, Price Contrarian, Behavioral Finance 1 The International Journal of Organizational Innovation Vol 11 Num 1 July 2018 2018-0859 IJOI http://www.ijoi-online.org/ Introduction justed profits. They also show that the dividend-increasing announcements en- Our study focuses on the influence hance the winners’ momentum profits, of dividend policy on stock market mo- and dividend-decreasing announcements mentum. The main purpose is to explore decrease the losers’ return. We are curi- whether the phenomenon of stock mar- ous whether the stock market in Taiwan ket momentum can be explained by the has similar situations. We therefore con- dividend strategy. Jegadeesh and Titman struct portfolios based on dividend pol- (1993) find that stock returns exhibit a icy and formation period returns to test short-term momentum behavior in the the relation between dividends and mo- stock market and document the profit- mentum profits. able strategy that buys a well-per- forming winner and sells a poor- per- Literature Review and Hypothesis forming loser simultaneously in the stock market will generate positive and Barberis and Shleifer (2003) de- returns over 3 to 12 month holding pe- velop a strategy model for describing riod. Some of the previous studies argue style portfolios. Their model shows that there is stock return momentum over the purchasing good performing assets of medium term. Meanwhile, there is sub- style portfolio and selling bad perform- stantial discussion over the source and ing assets of style portfolio can make interpretation of momentum profits. higher returns. Bhattacharya (1979) finds that dividend policy conveys Price momentum challenges market managerial information about firms’ efficiency. As suggested by Allen and earnings prospects. Firms tend to in- Michaely (2003), the market reacts posi- crease dividends when expecting their tively to dividend increases and nega- good performance to persist (Miller and tively to dividend decrease. Chordia and Modigliani, 1961). Thus, if firms do not Shivakumar (2006) document that stock increase dividends when having higher momentum can be captured by the sys- earnings, it may indicate that their good tematic component of earnings momen- performance would not persist. Thus, tum. Asem (2009) shows that the mo- dividend changes should have more ob- mentum profits of dividend-paying firms vious signal than dividend maintenance are lower than those of their non-paying does. This study therefore proposes the counterparts, using raw returns and following hypothesis. Fama-French (1993) alphas or risk- ad- 2 The International Journal of Organizational Innovation Vol 11 Num 1 July 2018 2018-0859 IJOI http://www.ijoi-online.org/ Hypothesis 1: The returns of winners maintain dividends are larger than that increase their dividends are those of traditional winner and loser larger than those of winners that strategy. maintain their dividends. The previous studies motivate us to Asem (2009) report that buying examine, from the financial behavior winners that increased their dividends view, whether there is any relationship and shorting losers that decreased their between market momentum and divi- dividends enhances momentum profits. dend policy? Therefore, we develop our The underlying rationale may well be models in next section. that under-reaction to dividend change announcements will enhance their return Model momentum for either winners or losers. The findings of De Cesari and Meier Inspired by Jegadeesh and Titman (2015) suggest that managers usually (1993), we adopted their trading strategy exploit the new private information of buying winner and selling loser si- conveyed by stock returns when decid- multaneously by using cross-sectional ing the dividend policies of their firms. data in Taiwan stock market to test the Their study shows the important role of relation between dividend policy and private information in stock prices when momentum profits. The formulas to determining dividend policy. Their em- calculate the portfolio returns are in the pirical evidence supports the idea that following equation (1) to equation (3): managers “listen to the market” because they adjust corporate policies according t −1 R i , j = ∏ 1( + ri , j ) − 1 (1) to market reactions. This study refers to j =t − J the above viewpoints and verifies whether the momentum profits of buy- t + k − 1 R i , k = ∏ 1( + ri , j ) − 1 (2) ing winners with dividend increasers are j = t higher than those of buying winner and n R selling losers based on their past stock i , k R = i = 1 (3) returns. The second hypothesis is then P n proposed as follows: Accordingly, we calculated the Hypothesis 2: The momentum returns of formation period return (Ri,j ) and hold- buying winners that increase and ing period returns (Ri,k ) of each time 3 The International Journal of Organizational Innovation Vol 11 Num 1 July 2018 2018-0859 IJOI http://www.ijoi-online.org/ point respectively. Following the gener- Dividend Momentum Strategy (with ally adopted buying winners and selling Higher Formation Period Returns) loser strategies, we built alternative portfolios based on price momentum For the second trading strategy, we strategy and examined the relationship used three types of dividend policy, in- between dividend policy and price mo- cluding dividend increase, dividend de- mentum strategy. We then had two crease, and dividend maintenance. They trading strategies based on price mo- were defined as companies, in a given mentum strategies as follows. year, increase, decrease their dividends or pay the same level of dividends as in The Winner and Loser Strategy the previous year. We developed the trading strategy combining dividend The first trading strategy was stim- policy with the various formation peri- ulated by the overlapping period ap- ods to structure our portfolios. Under proach proposed by Jegadeesh and Tit- this strategy, we also sorted dividend man (1993). Following Bhootra (2011), policy firms firstly and then sorted these we computed the momentum returns of firms based on their formation period portfolios with various formation and returns. We chose the dividend policy holding periods (j=3, 6, 9, 12 months, firms with the past j-months rolling re- and k=3, 6, 9, 12 months, respectively). turns higher than the median of overall In each month, firms were sorted into stock returns at time t. We also calcu- decile portfolios based on their cumula- lated these portfolio returns with the al- tive returns over months t =1 to t =j. The ternative formation and holding periods ‘‘winner’’ is defined as the top decile of (j=3, 6, 9, 12 months, and k=3, 6, 9, 12 the firms with the highest cumulative months, respectively). The 16 (4x4) returns and the “loser” is defined as the equally-weighted portfolios are then bottom decile of cumulative returns formed in the above manner. during formation periods. Then, the holding period returns represent the Our data is from Taiwan Economic equally-weighted averages of stock re- Journal (TEJ). The sample period is turns from strategies of holding the from 2005 to 2014. We included the portfolios for k months, implemented listed firms in non-financial industries in based on the past returns of previous j Taiwan as our sample. Preferred shares months. or Taiwan Depositary Receipts (TDRs) were excluded from the sample. 4 The International Journal of Organizational Innovation Vol 11 Num 1 July 2018 2018-0859 IJOI http://www.ijoi-online.org/ Main Results tion portfolios, we do not find signifi- cant momentum profits; on the contrary, We started our analysis by exam- the 6x12 portfolio has significant con- ining the stock returns under the over- trarian profit. As for mid-term strategies lapping approach with buying top decile (above six formation months), except for winner and selling bottom decile loser. the 9x3, 9x6 strategies, the contrarian Table 1 reports the results from the var- returns are significant at the 1%-5% lev- ious j x k winner and loser momentum el, which provides evidence for price strategies. For the short-run (under
Load more

Recommended publications
  • Keep up the Momentum∗
    Keep Up The Momentum∗ Thierry Roncalli Quantitative Research Amundi Asset Management, Paris [email protected] December 2017 Abstract The momentum risk premium is one of the most important alternative risk premia alongside the carry risk premium. However, it appears that it is not always well under- stood. For example, is it an alpha or a beta exposure? Is it a skewness risk premium or a market anomaly? Does it pursue a performance objective or a hedging objective? What are the differences between time-series and cross-section momentum? What are the main drivers of momentum returns? What does it mean when we say that it is a convex and not a concave strategy? Why is the momentum risk premium a diversifying engine, and not an absolute return strategy? The goal of this paper is to provide specific and relevant answers to all these ques- tions. The answers can already be found in the technical paper \Understanding the Momentum Risk Premium" published recently by Jusselin et al. (2017). However, the underlying mathematics can be daunting to readers. Therefore, this discussion paper presents the key messages and the associated financial insights behind these results. Among the main findings, one result is of the most importance. To trend is to diversify in bad times. In good times, trend-following strategies offer no significant diversification power. Indeed, they are beta strategies. This is not a problem, since investors do not need to be diversified at all times. In particular, they do not need diversification in good times, because they do not want that the positive returns gen- erated by some assets to be cancelled out by negative returns on other assets.
    [Show full text]
  • Explanations for the Momentum Premium
    CAPITAL MANAGEMENT Tobias Moskowitz, Ph.D. Summer 2010 Fama Family Professor of Finance University of Chicago Booth School of Business EXPLANATIONS FOR THE MOMENTUM PREMIUM Momentum is a well established empirical fact whose premium is evident in over 83 years of U.S. data, in 20 years of out of sample evidence from its original discovery, in 40 other countries, and in more than a dozen other asset classes. Its presence and robustness are remarkably stable and, along with the size and value premia, these investment styles have become the preeminent empirical regularities studied by academics and practitioners. And, like size and value, there is much debate and little consensus regarding the explanation driving this premium, though there are some compelling theories. In this short note, we summarize briefly the risk-based and non-risk based explanations for momentum. While the jury is still out on which of these explanations better fit the data, we emphasize that similar uncertainty regarding the explanation behind the size and value premium also exists. Much like momentum, stories for the size and value premium range from risk-based to behavioral and there is a healthy debate over which of these theories is most consistent with the facts. These debates are likely to continue for the foreseeable future, but as we discuss below there are many viable candidate theories for their existence—and the truth behind the source of these premia probably contains elements from several explanations. Non Risk-Based Explanations Some argue that the momentum premium is driven by non-risk factors, many of which have a behavioral flavor.
    [Show full text]
  • Absolute Momentum: a Simple Rule-Based Strategy and Universal Trend-Following Overlay
    Absolute Momentum: a Simple Rule-Based Strategy and Universal Trend-Following Overlay Gary Antonacci Portfolio Management Associates, LLC1 February 28, 2013 Abstract There is a considerable body of research on relative strength price momentum but relatively little on absolute, time series momentum. In this paper, we explore the practical side of absolute momentum. We first explore its sole parameter - the formation, or look back, period. We then examine the reward, risk, and correlation characteristics of absolute momentum applied to stocks, bonds, and real assets. We finally apply absolute momentum to a 60-40 stock/bond portfolio and a simple risk parity portfolio. We show that absolute momentum can effectively identify regime change and add significant value as an easy to implement, rule-based approach with many potential uses as both a stand- alone program and trend following overlay. 1 http://optimalmomentum.com 1 1. Introduction The cross-sectional momentum effect is one of the strongest and most pervasive financial phenomena (Jegadeesh and Titman (1993), (2001)). Researchers have verified its value with many different asset classes, as well as across groups of assets (Blitz and Van Vliet (2008), Asness, Moskowitz and Pedersen (2012)). Since its publication, momentum has held up out-of-sample going forward in time (Grundy and Martin (2001), Asness, Moskowitz and Pedersen (2012)) and back to the Victorian Age (Chabot, Ghysels, and Jagannathan (2009)). In addition to cross-sectional momentum, in which an asset's performance relative to other assets predicts its future relative performance, momentum also works well on an absolute, or time series basis, in which an asset's own past return predicts its future performance.
    [Show full text]
  • Do Momentum-Based Strategies Still Work in Foreign Currency Markets?
    JOURNAL OF FINANCIAL AND QUANTTTATIVE ANALYSIS VOL 38, NO. 2. JUNE 2003 COPr-HIQHT 2003. SCHCXH. OF BUSINESS ADMINISTRATION. UNIVERSITY OF WASHINGTON. SEATTLE, WA 98195 Do Momentum-Based Strategies Still Work in Foreign Currency Markets? John Okunev and Derek White* Abstract This paper examines the peifonnance of momentum trading strategies in foreign enchange markets. We find the well-documented profitability of momentum strategies during the 1970s and the 1980s has continued throughout the 1990s. Our ap(soach and findings are insensitive to die specification of the trading nile and the hase currency for analysis. Finally, we show that the peifonnance is not due to a time-vaiying risk premium hut rather depends on the underlying autocorrelation structure of the currency returns. In sum, the results lend fimher supprat to prior momentum studies on equities. The profitability to momentum-based strategies holds for currencies as well. I. Introduction For over three decades, investors in foreign exchange maikets have disagreed with the academic helief that price hehavior is entirely detennined hy market fundamentals. While most would concur that over the long run exchange rates should reflect fundamental value, many hold tbe view that short-t«m profitable opportunities exist due to market inefficiencies. In this paper, we examine the profitability of momentum trading strategies in foreign exchange maikets. * We find the well-documented profitability of momentum strategies during tbe 1970s and the 1980s has continued throughout the 1990s. Furthermore, we find that this profitability is not due to compensation for bearing a dme-varying risk premium. A degree of maricet inefficiency must be present in foreign exchange mar- kets for technical trading strategies to generate positive risk-adjusted returns.
    [Show full text]
  • The Role of Investability Restrictions on Size, Value, and Momentum in International Stock Returns
    The Role of Investability Restrictions on Size, Value, and Momentum in International Stock Returns by G. Andrew Karolyi and Ying Wu* Abstract Using monthly returns for over 37,000 stocks from 46 developed and emerging market countries over a two- decade period, we test whether empirical asset pricing models capture the size, value, and momentum patterns in international stock returns. We propose and test a multi-factor model that includes factor portfolios based on firm characteristics and that builds separate factors comprised of globally-accessible stocks, which we call “global factors,” and of locally-accessible stocks, which we call “local factors.” Our new “hybrid” multi-factor model with both global and local factors not only captures strong common variation in global stock returns, but also achieves low pricing errors and rejection rates using conventional testing procedures for a variety of regional and global test asset portfolios formed on size, value, and momentum. First Version: November 23, 2011. This Version: November 14, 2012. Key words: International asset pricing; investment restrictions; cross-listed stocks. JEL Classification Codes: F30, G11, G15. * Karolyi is Professor of Finance and Economics and Alumni Chair in Asset Management at the Johnson Graduate School of Management, Cornell University and Wu is a Ph.D. student, Department of Economics, Cornell University. We are grateful for detailed comments from Ken French, for useful conversations with Francesca Carrieri, Bernard Dumas,Vihang Errunza, Cheol Eun, Gene Fama, Kingsley Fong, Amit Goyal, John Griffin, Kewei Hou, Bong-Chan Kho, Robert Kieschnick, Pam Moulton, Paolo Pasquariello, Ali Reza, Richard Roll, Bernell Stone, René Stulz, Harry Turtle, Hao Wang, Xiaoyan Zhang, and for feedback from workshop participants at BYU, Cheung Kong, Cornell, Florida International, INSEAD, Laval, Rochester, SMU, UT Dallas, Tsinghua, Tulane, and the 2011 Australasian Banking and Finance Conference.
    [Show full text]
  • Transient Momentum Balance—A Method for Improving the Performance of Mean-Value Engine Plant Models
    Energies 2013, 6, 2892-2926; doi:10.3390/en6062892 OPEN ACCESS energies ISSN 1996-1073 www.mdpi.com/journal/energies Article Transient Momentum Balance—A Method for Improving the Performance of Mean-Value Engine Plant Models Tomaž Katrašnik Faculty of Mechanical Engineering, University of Ljubljana, Aškerčeva 6, SI-1000 Ljubljana, Slovenia; E-Mail: [email protected]; Tel.: +386-1-4771-305; Fax: +386-1-4771-310 Received: 20 March 2013; in revised form: 5 June 2013 / Accepted: 6 June 2013 / Published: 14 June 2013 Abstract: Mean-value engine models (MVEMs) are frequently applied in system-level simulations of vehicle powertrains. In particular, MVEMs are a common choice in engine simulators, where real-time execution is mandatory. In the case of real-time applications with prescribed, fixed sampling times, the use of explicit integration schemes is almost mandatory. Thus the stability of MVEMs is one of the main limitations when it comes to optimizing their performance. It is limited either by the minimum size of the gas volume elements or by the maximum integration time step. An innovative approach that addresses both constraints arises from the fact that the mass flow through the transfer elements of the MVEM is not modelled considering the quasi-steady assumption, but instead the mass-flow is calculated using a single transient momentum balance (TMB) equation. The proposed approach closely resembles phenomena in the physical model, since it considers both the flow-field history and the inertial effects arising from the time variation of the mass flow. It is shown in this paper that a consideration of the TMB equation improves the stability and/or the computational speed of the MVEMs, whereas it also makes it possible to capture physical phenomena in a more physically plausible manner.
    [Show full text]
  • Speculative Dynamics of Prices and Volume∗
    Speculative Dynamics of Prices and Volume∗ Anthony A. DeFuscoy Charles G. Nathansonz Eric Zwickx May 18, 2017 Abstract We present a dynamic theory of prices and volume in asset bubbles. In our framework, predictable price increases endogenously attract short-term investors more strongly than long-term investors. Short-term investors amplify volume by selling more fre- quently, and they destabilize prices through positive feedback. Our model predicts a lead{lag relationship between volume and prices, which we confirm in the 2000{2011 US housing bubble. Using data on 50 million home sales from this episode, we docu- ment that much of the variation in volume arose from the rise and fall in short-term investment. ∗We thank Stefano Giglio, Edward Glaeser, Sam Hanson, Stijn Van Nieuwerburgh, Alp Simsek, Johannes Stroebel, Richard Thaler, and Rob Vishny for helpful comments. William Cassidy, Jessica Henderson, Saul Ioffie, Harshil Sahai, and Iris Song provided excellent research assistance. DeFusco and Nathanson thank the Guthrie Center for Real Estate Research for financial support, and Zwick gratefully acknowledges financial support from the Fama Miller Center and Booth School of Business at the University of Chicago. yKellogg School of Management, Northwestern University. zKellogg School of Management, Northwestern University. xBooth School of Business, University of Chicago and NBER. The role of speculation in driving asset prices has long been debated among economists (Keynes, 1936; Fama, 1970; Shiller, 1981; Black, 1986).1 Modern empirical work on \spec- ulative dynamics" begins with Cutler et al. (1991), who document short-run momentum and long-run reversals in the prices of many diverse assets.
    [Show full text]
  • Statement by the Board of Directors Regarding the Proposed Dividend
    Annual General Meeting of Momentum Group AB (publ) on 11 May 2021 – Documentation for Item 10. Statement by the Board of Directors regarding the proposed dividend In connection with the proposal by the Board of Directors of Momentum Group AB (publ) regarding a dividend for the 2020 financial year, the Board hereby submits the following statement in accordance with Chapters 17–18 of the Swedish Companies Act. The Board proposes a dividend of SEK 1.50 per share. The proposed dividend corresponds to 33 percent of the Group’s earnings per share for the shortened 2020 financial year. The Board of Directors has assessed the Company’s and the Group’s financial position and the Company’s and the Group’s ability to meet their short and long-term obligations. A total of MSEK 75.6 is required for the proposed dividend payment (with due consideration for the repurchased Class B shares held by Momentum Group AB), which means that, all other things being equal, the Group’s equity/assets ratio would decrease by 1.0 percentage points as of 31 December 2020. After payment of the proposed dividend and taking into consideration the prevailing market conditions, the Company’s and the Group’s equity/assets ratio is still deemed to meet the demands placed on the operations conducted by the Group. The Board’s assessment is that the proposed dividend is well balanced taking into account the demands placed on the size of the Company’s and the Group’s equity and liquidity due to the type of business conducted, its scope and relative risks.
    [Show full text]
  • Factor Momentum and the Momentum Factor∗
    Factor Momentum and the Momentum Factor∗ Sina Ehsaniy Juhani Linnainmaaz First draft: March 2017 This draft: June 2019 Abstract Momentum in individual stock returns emanates from momentum in factor returns. Most factors are positively autocorrelated: the average factor earns a monthly return of 1 basis point following a year of losses and 53 basis points following a positive year. Factor momentum explains all forms of individual stock momentum. Stock momentum strategies indirectly time factors: they profit when the factors remain autocorrelated, and crash when these autocorrelations break down. Our key result is that momentum is not a distinct risk factor; it aggregates the autocorrelations found in all other factors. JEL classification: G11, G12, G40 Keywords: Factors; Anomalies; Momentum ∗We thank Huaizhi Chen (discussant), Ing-Haw Cheng, John Cochrane, Amit Goyal, Mark Grinblatt, Jon Lewellen, Paulo Maio (discussant), Stefan Nagel (editor), Sheridan Titman, Ivo Welch, and Guofu Zhou, the associate editor, and the two anonymous referees for valuable comments. We are grateful for the feedback by the conference and seminar participants at Washington University in St. Louis, DePaul University, Ohio State University, Hong Kong University of Science and Technology, Hong Kong Polytechnic University, University of New South Wales, Baruch College, University of Texas{Rio Grande Valley, Clemson University, Northern Illinois University, Monash University, La Trobe University, Australian National University, University of Technology Sydney, UBS Sydney, University of California{Riverside, University of Oxford, Northern Trust Asset Management, the 2018 Mark Grinblatt Retirement Conference at UCLA, the 2018 Midwest Finance Association meetings, and the 2019 Western Finance Association meetings. ySchool of Business, Northern Illinois University.
    [Show full text]
  • Momentum Effect in Stocks' Returns Between the Rational and the Behavioural Financial Theories
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE International Journal of Financeprovided & by SocietyBanking for the Study Studies of Business & Finance- IJF SSBFNET:BS E-Journals Vol.2 No.1, 2013 ISSN: 2147-4486 available online at www.ssbfnet.com Momentum effect in stocks’ returns between the rational and the behavioural financial theories: Proposition of the progressive rationality Faten Zoghlami a Assistant professor, High Institute of Accounting and Business Administration, Manouba University, Tunisia. Abstract The puzzling momentum strategies’ payoffs are defying the rational financial theory asserting the stocks returns’ unpredictability. Moreover, the momentum effect persist the main stocks returns’ anomaly escaping any risk-based explanation. The resilience of this phenomenon had favoured the development of behavioural financial field, which breaks with the investor’ full rationality hypothesis. This paper attempts to reconcile between the rational and behavioural financial theories, through the introduction of the progressive rationality concept. Especially, we argue that recognizing the temporary inappropriate investors’ reactions; can resolve the puzzling momentum anomaly. To fulfil our objective, first we correct the monthly returns inherent to 56 stocks listed on the Tunisian stocks market from January 1998 to December 2011, from the related serial autocorrelations involved by the investors’ over and under reactions. Then, we examine the 6/6 momentum strategy’ excess returns before and after the monthly returns serial autocorrelations’ corrections. The result show that the momentum strategy is still profitable but no longer puzzling, since the related excess return is henceforth fully captured by a β and a size effect.. Key words: Tunisian momentum effect; the rational finance theory; the behavioural finance theory; the three-factorial model and the autoregressive process.
    [Show full text]
  • Momentum Is Not an Anomaly
    Momentum is Not an Anomaly Robert F. Dittmar, Gautam Kaul, and Qin Lei October 2007 Dittmar is at the Ross School of Business, University of Michigan (email: [email protected]). Kaul is at the Ross School of Business, University of Michigan (email: [email protected]). Lei is at the Cox School of Business, Southern Methodist University (email: [email protected]). We thank Jennifer Conrad, Rex Thompson, and seminar participants at Southern Methodist University for thoughtful comments. We retain the responsibility for all remaining errors. Abstract In this paper, we develop a new approach to test whether momentum is indeed an anomaly in that it re‡ects delayed reactions, or continued overreactions, to …rm speci…c news. Our methodology does not depend on a speci…c model of expected returns and, more importantly, does not require a decomposition of momentum pro…ts. Yet we provide distinct testable predictions that can discrim- inate between the two diametrically opposed causes for the pro…tability of momentum strategies: time-series continuation in the …rm-speci…c component of returns, and cross-sectional di¤erences in expected returns and systematic risks of individual securities. Our results show that, contrary to the common belief in the profession, momentum is not an anomaly; we …nd no evidence of continuation in the idiosyncratic component of individual-security returns. The evidence is instead consistent with momentum being driven entirely by cross-sectional di¤erences in expected returns and risks of individual securities. 1 Introduction The proposition that the idiosyncratic component of individual …rms’returns displays continuation now appears to be widely accepted among academics and practitioners.
    [Show full text]
  • The Role of Investability Restrictions on Size, Value, and Momentum in International Stock Returns
    The Role of Investability Restrictions on Size, Value, and Momentum in International Stock Returns by G. Andrew Karolyi and Ying Wu* Abstract Using monthly returns for over 37,000 stocks from 46 developed and emerging market countries over a two-decade period, we test whether empirical asset pricing models capture the size, value, and momentum patterns in international stock returns. We propose and test a multi-factor model that includes factor portfolios based on firm characteristics and that builds separate factors comprised of globally-accessible stocks, which we call “global factors,” and of locally-accessible stocks, which we call “local factors.” Our new “hybrid” multi-factor model with both global and local factors not only captures strong common variation in global stock returns, but also achieves low pricing errors and rejection rates using conventional testing procedures for a variety of regional and global test asset portfolios formed on size, value, and momentum. First Version: November 23, 2011. This Version: April 20, 2012. Key words: International asset pricing; investment restrictions; cross-listed stocks. JEL Classification Codes: F30, G11, G15. * Karolyi is Professor of Finance and Economics and Alumni Chair in Asset Management at the Johnson Graduate School of Management, Cornell University and Wu is a Ph.D. student, Department of Economics, Cornell University. We are grateful for detailed comments from Ken French, for useful conversations with Vihang Errunza, Gene Fama, John Griffin, Kewei Hou, Bong-Chan Kho, Robert Kieschnick, Paolo Pasquariello, Richard Roll, Bernell Stone, René Stulz, Harry Turtle, Hao Wang, and for feedback from workshop participants at BYU, Cheung Kong, Cornell, Florida International, Laval, SMU, UT Dallas, Tsinghua, and the 2011 Australasian Banking and Finance Conference.
    [Show full text]