Liquidity And Expected Returns In A Multi Factor Asset Pricing Model
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Liquidity And Expected Returns In A Multi Factor Asset Pricing Model
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Author : Jan Schneider
language : en
Publisher:
Release Date : 2010
Liquidity And Expected Returns In A Multi Factor Asset Pricing Model written by Jan Schneider and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Several empirical studies find that illiquid firms have higher expected returns than liquid firms. I argue that this result is a puzzle that has not been resolved yet. The liquidity premium is puzzling since investors can circumvent low liquidity by trading diversified funds of illiquid firms. I develop a model that shows how a combination of cross-sectional differences in liquidity and short sale constraints generates a risk premium for illiquid firms despite the ability of investors to trade illiquid firms in large liquid baskets.
Asset Pricing In Emerging Markets
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Author : Shabir Ahmad Hakim
language : en
Publisher:
Release Date : 2015
Asset Pricing In Emerging Markets written by Shabir Ahmad Hakim and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Capital assets pricing model categories.
Emerging markets are associated with developing economies and are structurally different from the developed markets. They offer higher expected returns as they are experiencing higher growth rates and potential for diversifying the risk in global portfolios as they are partially integrated with the developed markets. However, the structural differences coupled with partial integration limit the capability of the asset pricing models, originally designed for the developed markets, to capture risk and return dynamics of the assets in these markets and necessitate customization of the models to the local settings. Many asset pricing studies undertaken in this direction supplement the factors in developed market models with the factors that are unique to the emerging markets. However, the models have limited scope in explaining asset returns due to limited explanatory power of the factors included. This study proposes a multifactor asset pricing model with nine explanatory factors, which include returns on the local and global market portfolios, exchange rate, and returns on six mimicking portfolios that proxy for the common sources of risks associated with size, book to market value of equity, market liquidity, leverage, quality of earnings, and asset liquidity of firms. The last three factors in the model have not been tested in the emerging markets; among these, asset liquidity is introduced as an explanatory factor in asset pricing in this study. The model is tested in seven emerging markets, namely China, India, Indonesia, Malaysia, Thailand, South Africa, and Brazil using ten-year monthly data on non-financial firms over period of January 2004 to December 2013. Generalized method of moments (GMM) is applied for data analysis and model testing. The findings of the study reveal that the local market portfolio is the most dominant factor in all the markets. It subsumes the effects of the global market portfolio and the exchange rate in most of the markets. In addition, consistent cross-country behaviour of size related factor is observed in explaining returns on small and medium portfolios, and of book to market value of equity related factor in explaining returns on high book to market value portfolios. Other factors in the model exhibit different behaviours in different markets indicating presence of idiosyncrasies in the common sources of risks that drive returns in these markets. The newly introduced asset liquidity factor has strong impact on stock returns in four markets: India, Indonesia, Malaysia and South Africa. Furthermore, the new to emerging markets factors leverage and quality of earnings have noticeable influence on stock returns in two markets each; leverage in India and Malaysia, and quality of earnings in China and Brazil. The observed behaviour of the model in the markets studied mirrors the behaviour expected of asset pricing models in emerging markets, which are partially integrated with one another and are in different stages of economic lifecycle.
Liquidity And Asset Prices
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Author : Yakov Amihud
language : en
Publisher: Now Publishers Inc
Release Date : 2006
Liquidity And Asset Prices written by Yakov Amihud and has been published by Now Publishers Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Business & Economics categories.
Liquidity and Asset Prices reviews the literature that studies the relationship between liquidity and asset prices. The authors review the theoretical literature that predicts how liquidity affects a security's required return and discuss the empirical connection between the two. Liquidity and Asset Prices surveys the theory of liquidity-based asset pricing followed by the empirical evidence. The theory section proceeds from basic models with exogenous holding periods to those that incorporate additional elements of risk and endogenous holding periods. The empirical section reviews the evidence on the liquidity premium for stocks, bonds, and other financial assets.
Liquidity And Expected Returns
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Author : Geert Bekaert
language : en
Publisher:
Release Date : 2005
Liquidity And Expected Returns written by Geert Bekaert and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with International liquidity categories.
"Given the cross-sectional and temporal variation in their liquidity, emerging equity markets provide an ideal setting to examine the impact of liquidity on expected returns. Our main liquidity measure is a transformation of the proportion of zero daily firm returns, averaged over the month. We find that our liquidity measures significantly predict future returns, whereas alternative measures such as turnover do not. Consistent with liquidity being a priced factor, unexpected liquidity shocks are positively correlated with contemporaneous return shocks and negatively correlated with shocks to the dividend yield. We consider a simple asset pricing model with liquidity and the market portfolio as risk factors and transaction costs that are proportional to liquidity. The model differentiates between integrated and segmented countries and periods. Our results suggest that local market liquidity is an important driver of expected returns in emerging markets, and that the liberalization process has not eliminated its impact"--National Bureau of Economic Research web.
Hedging Against Liquidity Risk And Short Sale Constraints
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Author : Doron Avramov
language : en
Publisher:
Release Date : 2002
Hedging Against Liquidity Risk And Short Sale Constraints written by Doron Avramov and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with categories.
This paper exploits the intuition of the ICAPM to propose a measure that formally compares the empirical performance of competing asset pricing models in the presence of short selling constraints. In a multifactor context, portfolios are said to be efficient if they yield the highest expected return for a given variance and for a given degree of sensitivity to state variables that capture future investment-consumption risks. The measure of model misspecification is the maximal expected return loss caused by holding the market portfolio instead of the multifactor efficient portfolio. Including a proxy for liquidity in intertemporal pricing models takes the market portfolio closer to multifactor efficiency relative to scenarios that discard liquidity. Indeed, when no short positions are allowed, including a liquidity proxy in an intertemporal asset pricing model results in near exact multifactor efficiency of the market portfolio. Our empirical results can be explained by noting that liquidity risk is typically of major concern whenever the market declines. Investors who take short positions implicitly hedge against liquidity risk, thus a proxy for liquidity plays only a secondary role when such positions are allowed. In contrast, the liquidity proxy plays a major role when short selling is precluded.
Multifactor Assets Pricing Model
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Author : Khushboo Sagar
language : en
Publisher:
Release Date : 2020
Multifactor Assets Pricing Model written by Khushboo Sagar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Generous consideration has been pursued to the empirical testing of multi factor assets pricing models. However, literature provides mixed kind of evidences in the support of multi factor assets pricing model. This study reviews 20 research articles based on multi factor assets pricing model and examines 25 research papers based on the empirically testing of multi factor assets pricing model published during 2001 and 2018 to study the multi factor assets pricing model in the Indian context as well as foreign context. CAPM is a popular normative model used by researchers to explain the relationship between risk and expected return of a risky asset which was developed by Sharpe (1964) and Lintner (1965). This model takes only one risk factor which is the excess market portfolio return (Market premium). Because of poor performance of CAPM in explaining realized returns, the Fama and French three factor asset pricing model (1993) was developed. Fama and French (1993) documented the size effect and the value effect that were not included in the CAPM, generally known as CAPM anomalies. Mark M. Carhart (1997) developed the Carhart four factor model. It is an extension of the FF three factor model with one another factor i.e. momentum factor effect for asset pricing of stocks. In view of the limitations of the earlier three-factor model, Fama and French five-factor asset pricing model (2014) was developed. Fama and French (2014) came with profitability pattern and investment pattern in average stock return along with the market premium, size premium and value premium. This paper may be an expedient source of information to the academics, financial analyst and researchers to understand the asset pricing model.
Liquidity And Expected Returns
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Author : Geert Bekaert
language : en
Publisher:
Release Date : 2012
Liquidity And Expected Returns written by Geert Bekaert and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Given the cross-sectional and temporal variation in their liquidity, emerging equity markets provide an ideal setting to examine the impact of liquidity on expected returns. Our main liquidity measure is a transformation of the proportion of zero daily firm returns, averaged over the month. We find that our liquidity measures significantly predict future returns, whereas alternative measures such as turnover do not.Consistent with liquidity being a priced factor, unexpected liquidity shocks are positively correlated with contemporaneous return shocks and negatively correlated with shocks to the dividend yield. We consider a simple asset pricing model with liquidity and the market portfolio as risk factors and transaction costs that are proportional to liquidity. The model differentiates between integrated and segmented countries and time periods. Our results suggest that local market liquidity is an important driver of expected returns in emerging markets, and that the liberalization process has not fully eliminated its impact.
Essays In International Asset Pricing
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Author : Ying Wu
language : en
Publisher:
Release Date : 2013
Essays In International Asset Pricing written by Ying Wu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
The empirical research focuses on the common risk factors in stock returns and trading activities. The first essay is titled "Asset Pricing with Extreme Liquidity Risk". Defining extreme liquidity as the tails of illiquidity for all stocks, I propose a direct measure of market-wide extreme liquidity risk and find that extreme liquidity risk is priced cross-sectionally in the U.S. equity market. From 1973 through 2011, stocks in the highest quintile of extreme liquidity risk loadings earned value-weighted average returns 6.6% per year higher than stocks in the lowest quintile. The extreme liquidity risk premium is robust to common risk factors related to size, value and momentum. The premium is different from that on aggregate liquidity risk documented in Pástor and Stambaugh (2003) as well as that based on tail risk of Kelly (2011). Extreme liquidity estimates can offer a warning sign of extreme liquidity events. Predictive regressions show that extreme liquidity measure reliably outperforms aggregate liquidity measures in predicting future market returns. Finally, I incorporate the extreme liquidity risk into Acharya and Pedersen's (2005) framework and find new supporting evidence for their liquidity-adjusted capital asset pricing model. The second essay is co-authored with Prof. Andrew Karolyi. We have developed a multi-factor returns-generating model for an international setting that captures how restrictions on investability or accessibility can matter. The model works reasonably well in a wide variety of settings. More specifically, using monthly returns for over 37,000 stocks from 46 developed and emerging market countries over a two-decade period, 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. In the third essay, I examine the implications of the Lo and Wang (2000, 2006) mutual fund separation model in the cross-sectional behavior of global trading activity. It demonstrates that return-based factors work poorly around the world. On average across countries, market-wide turnover captures 37% of all systematic turnover components in individual stock trading, and two additional Fama and French (1993) factor turnovers increase the explanatory power by 23%. Similarly Lo and Wang's (2000) turnovers only capture on average 64% of all systematic turnover components. Using this multi-factor asset pricing-trading framework, a horserace is further performed to explore other factors in return by examining the turnover behavior of different factor mimicking portfolios. All the return-based factors capture at most 67% of the common variation in trading, suggesting that stock pricing and trading volume may not be compatible around the world. In cross-country analysis, the explanatory power of the returnbased factor model varies substantially across countries and markets, with better performance for European developed markets and China. Surprisingly, in North America, Japan and most emerging markets there are larger amounts of commonality in trading, mostly higher than 47 %, for reasons other than return motive.
Liquidity Risk And Asset Pricing In The Housing Market
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Author : Xian Zheng
language : en
Publisher: Open Dissertation Press
Release Date : 2017-01-26
Liquidity Risk And Asset Pricing In The Housing Market written by Xian Zheng and has been published by Open Dissertation Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-26 with categories.
This dissertation, "Liquidity Risk and Asset Pricing in the Housing Market" by Xian, Zheng, 郑贤, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: The role of liquidity in asset pricing model has attracted much attention in recent financial studies; however there is a paucity of literature with respect to liquidity risk and asset pricing in the direct housing market. The housing market is characterized by costly searching, inelastic supply and short-sale constraints. It is expected that the housing market should incur more significant illiquid effects, since it is much more illiquid than stock market. Motivated by this intuition, this thesis aims to explore 1) whether and to what extent liquidity can explain variations in over-time/crosssectional housing returns; and 2) whether liquidity factor plays a role in explaining the second moment (i.e. volatility) of housing price. We employ the panel regression and Fama-MacBeth two-stage procedure to investigate over-time and cross-sectional relations between liquidity and housing return. Liquidity asset pricing theory suggests that assets with lower degree of liquidity offer higher expected returns. Consistent with this prediction, the panel regression results suggest that housing return is a decreasing function of liquidity in previous year, while it is positively relative to contemporary liquidity shocks. For the cross-sectional asset pricing tests, housing estate specific betas are estimated using rolling time-series regressions of a three-factor asset pricing model. We investigate the proposition that housing estates with greater return sensitivity to market liquidity earns higher expected return. Using a disaggregate dataset of 55 popular housing estates, we find (1) both market liquidity beta and housing estate specific liquidity risk are significantly priced in the cross-sectional housing estate returns, implying that cross-sectional differences in estate premium partially represent the liquidity premium. (2) The market beta, sentiment beta and market liquidity beta explain 14.36% of variations in cross-sectional estate returns. The results are robust across different specifications. (3) Investors are less willing to bear liquidity risk during the down markets, which shed new light on the positive price-volume correlation. These findings complement the cross-sectional liquidity-return relationship in the financial literature. Measuring housing price volatility is fundamental to the study of the dynamics of housing price risk. We investigate the effects of liquidity on housing price volatility in different housing classes (classified by size of the housing unit according to the Rating and Valuation Department's definitions). Housing price volatility is measured as the conditional variance of a GARCH model under the Adaptive Expectations framework. We reveal that volatility transmits from small housing units to large housing units, which indirectly supports the trade-up effect in previous literature. Besides, the starter and high-end housing classes are extraordinarily sensitive to negative and positive liquidity shocks respectively. Consistent with the friction search theory, we find that the pricing errors are alleviated as the trading volume increases, since the valuated price tends to be more accurate as more information arrives. Lastly, the variance decomposition and impulse response results imply that the positive liquidity shock accounts for a large proportion of variations in housing volatility. DOI: 10.5353/th_b5108650 Subjects: Housing - Prices Liquidity (Economics
Market Liquidity
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Author : Yakov Amihud
language : en
Publisher: Cambridge University Press
Release Date : 2012-11-12
Market Liquidity written by Yakov Amihud and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-12 with Business & Economics categories.
This book presents the theory and evidence on the effect of market liquidity and liquidity risk on asset prices and on overall securities market performance. Illiquidity means incurring a high transaction cost, which includes a large price impact when trading and facing a long time to unload a large position. Liquidity risk is higher if a security becomes more illiquid when it needs to be traded in the future, which will raise trading cost. The book shows that higher illiquidity and greater liquidity risk reduce securities prices and raise the expected return that investors require as compensation. Aggregate market liquidity is linked to funding liquidity, which affects the provision of liquidity services. When these become constrained, there is a liquidity crisis which leads to downward price and liquidity spiral. Overall, the volume demonstrates the important role of liquidity in asset pricing.