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We find that the Campbell–Cochrane external-habit model can generate a value premium if the persistence of the consumption surplus is sufficiently low. Such low persistence is supported by micro evidence on consumption. If the mean and conditional volatility of consumption growth are highly persistent, as in the Bansal–Yaron long-run risk model, then fast-moving habit can also generate, without eroding the value premium: i) empirically sensible long horizon return predictability; and ii) a price–dividend ratio for market equity that exhibits the high autocorrelation found in the data. Fast-moving habit also delivers several empirical properties of market-dividend strips. [ABSTRACT FROM AUTHOR]

The claim by Liu and Matthies (LM) that their macro news risk factor (NI) prices 51 portfolios (associated with four different portfolio groups) is not appropriate. In fact, their single‐factor model is successful only in explaining the momentum deciles, while producing strongly negative performance for the remaining groups. The pricing performance is more doubtful in the case of the alternative news factor (HNI), as the respective risk price is not identified. LM's conclusions stem from a combination of questionable empirical choices and misinterpretation of their results. Moreover, the NI model cannot explain prominent capital asset pricing model anomalies not considered in their study. [ABSTRACT FROM AUTHOR]

The study focuses on the selected aspects of investment measurement and management for the support of financial and economic decision-making of investors in wood-processing sectors. The aim of the study was to analyze the indicators for the structure and cost of capital of furniture and paper/forest branches in Slovakia, quantify the actual expected return on investment based on the selected methodology, and consequently find out the fundamental differences resulting from the specific conditions of given sectors. Methodologically, the study uses procedures for the weighted average cost of capital (WACC), capital asset pricing model (CAPM) for determining the cost of equity, and calculation of the beta coefficient considering the risk premium. The results of the study demonstrated a similar levered beta in both analyzed sectors (1.17 in furniture, 1.20 in paper/forest), but in each sector for a different reason. The expected rate of return is higher in furniture (7.84%) compared to paper/forest products at the level of 6.04%. The findings provide the possibility of comparing the required and expected rate of return on invested capital and making the appropriate long-term investment decisions. [ABSTRACT FROM AUTHOR]

There is a discrepancy between CAPM-implied and realized returns. Using the CAPM in capital budgeting—as recommended in textbooks—should thus have real effects. For instance, low beta projects should be valued more by CAPM users than by the market. We test this hypothesis using M&A data and show that bids for low-beta private targets entail lower bidder returns. We provide further support by testing several ancillary predictions. Our analyses suggest that using the CAPM when valuing targets leads to valuation errors (relative to the market's view) corresponding on average to 12% to 33% of the deal values. [ABSTRACT FROM AUTHOR]

We develop a tractable equilibrium asset pricing model with cumulative prospect theory (CPT) preferences. Using GMM on a sample of U.S. equity index option returns, we show that by introducing a single common probability weighting parameter for both tails of the return distribution, the CPT model can simultaneously generate the otherwise puzzlingly low returns on both out-of-the-money put and out-of-the-money call options as well as the high observed variance premium. In a dynamic setting, probability weighting and time-varying equity return volatility combine to match the observed time-series pattern of the variance premium. Received May 30, 2017; editorial decision August 10, 2018 by Editor Andrew Karolyi. [ABSTRACT FROM AUTHOR]

We propose a single-factor asset pricing model based on an indicator function of consumption growth being less than its endogenous certainty equivalent. This certainty equivalent is derived from generalized disappointment-aversion preferences, and it is located approximately 1 standard deviation below the conditional mean of consumption growth. Our single-factor model can explain the cross section of expected returns for size, value, reversal, profitability, and investment portfolios at least as well as the Fama–French multifactor models. Our results show strong empirical support for asymmetric preferences and question the effectiveness of the smooth utility framework, which is traditionally used in consumption-based asset pricing. [ABSTRACT FROM AUTHOR]

The process of predicting the stock return is considered the main challenge confronting the financial analyst and the investment decision-maker in particular. The objective of the study aims at testing the ability of both CAPM model and APT theory in predicting the stock return. The study investigated a sample of 10 banks listed in the Iraq Stock Exchange for the period (2012-2021). A variety of appropriate statistical and financial means and tools were employed. The study results in many conclusions including the rejection of the study hypotheses and the acceptance of alternative hypotheses based on the analytical results, and then there is a difference in the required rate of return calculated according to each of CAPM model and APT theory as well as the actual return. [ABSTRACT FROM AUTHOR]

This study attempts to examine different risk measures and their combinations as the part of a suitable asset pricing model for Islamic stocks. We choose beta, coskewness, downside beta, and downside coskewness and their combinations in single- and two-factor asset pricing model settings. We selected 91 companies from PSX using monthly returns from 2000-2018. The double sorting procedure is adopted for robustness, and collinearity between beta/downside beta and its respective higher moments is addressed by orthogonalizing each variable with its counterpart. Results tend to indicate that the two-factor model comprising downside beta and downside coskewness-based model is the most suitable asset pricing model for Islamic stocks. The use of two risk measures in the Islamic asset pricing framework yields a better understanding of stock prices which can help assess the risk of Islamic stocks for an investment decision. [ABSTRACT FROM AUTHOR]

The Hamada equation based on Miller–Modigliani (MM) Proposition I shows the 'no arbitrage' relationship between the firm's levered and unlevered beta. This relationship can be obtained from a capital asset pricing model (CAPM). MM is not required because asset prices under CAPM are inherently additive under any arbitrary slicing or securitisation of the firm's cash flows (the size of the pie is unaffected by how it is cut). Our CAPM theory shows why the market rate of return on debt increases when the firm takes risks that increase its probability of default, even when the risk is idiosyncratic and unconnected to market conditions. [ABSTRACT FROM AUTHOR]

We empirically compare the reliability of the dividend (DIV) model, the residual income valuation (CT, GLS) model, and the abnormal earnings growth (OJ) model. We find that valuation estimates from the OJ model are generally more reliable than those from the other three models, because the residual income valuation model anchored by book value gets off to a poor start when compared with the OJ model led by capitalized next-year earnings. We adopt a 34-year sample covering from 1985 to 2013 to compare the reliability of valuation estimates via their means of absolute pricing errors (MAPE) and corresponding t statistics. We further use the switching regression of Barrios and Blanco to show that the average probability of OJ valuation estimates is greater in explaining stock prices than the DIV, CT, and GLS models. In addition, our finding that the OJ model yields more reliable estimates is robust to analysts-based and model-based earnings measures. [ABSTRACT FROM AUTHOR]

A common approach to comparing asset pricing models involves a competition in pricing test-asset returns. In contrast, we show that for models with traded factors, when the comparison is framed appropriately in terms of success in pricing both the test-asset and factor returns, the extent to which each model is able to price the factors in the other model is what matters for model comparison. Test assets are irrelevant based on several prominent criteria. For models with nontraded factors, test assets are relevant for model comparison insofar as they are needed to identify factor-mimicking portfolio returns. [ABSTRACT FROM AUTHOR]

We examine asset allocation decisions under smooth ambiguity aversion when an investor has a prior degree of belief in the domestic capital asset pricing model (CAPM). Different from a Bayesian approach, the investor separately relies on the conditional distribution of returns and on the posterior over parameters to make decisions, rather than on the predictive distribution of returns that integrates priors and likelihood information. We find that in the perspective of U.S. investors, ambiguity aversion generates strong home bias in equity holdings, regardless of beliefs in the CAPM or risk aversion. Results become stronger under regime-switching investment opportunities. [ABSTRACT FROM PUBLISHER]

Assessing the riskiness of investments in civil works is an integral part of the decision-making process. The main limitation is the absence, both in the regulatory landscape and in the literature of the sector, of threshold values that can guide the analyst in expressing an assessment on the acceptance of the investment risk. The aim of the paper is to define a risk management model that overcomes this gap by introducing acceptability and tolerability thresholds for project risk. The idea is to jointly use: (i) the As Low As Reasonably Practicable (ALARP) logic, from which the concepts threshold of acceptability and tolerability of risk derive, for the first time applied to assess the project risk in the civil field; (ii) the Capital Asset Pricing Model (CAPM) and statistical methods to define an innovative methodology for estimating the aforementioned threshold values. According to the proposed approach, these risk limit values can be specified according to both the investment sector and the socio-economic context of the project. The implementation of the methodology in the civil company sector in Europe allows to validate the described model. The elaborations show that the financial performance of the project is widely acceptable if the Expected Internal Rate of Return is greater than 7.8%; unacceptable if the expected rate of return is less than 5.6%; and tolerable as an ALARP if the expected rate is between 5.6% and 7.8%. The estimated acceptability and tolerability thresholds can provide the economic operator with a more immediate and consistent evaluation of the triangular balance of risks, costs, and benefits. This allows the decision-making process to become more rational and transparent. [ABSTRACT FROM AUTHOR]

In many jurisdictions, the determination of the acceptable rate of return for the assets of a regulated utility is based partially on the Capital Asset Pricing Model (CAPM) to determine risk premia. However, the traditional estimation of CAPM can be criticized for not including considerations of reference-day risk as well as the higher moments of the rates of return. In this paper, we attempt to account for both the potential variation induced by the definition of specific reference days and the higher moments of rates of return in the estimates of Beta. This paper provides a new methodology to account for reference-day variation. We construct a set of pseudo-monthly rates of return to identify the influence of reference-day choice. These pseudo-monthly asset returns are used to estimate measures of asset systematic risk for an international panel of regulated firms. To evaluate the influence of return rate volatility we examine the errors from the estimation of the CAPM with least squares, least absolute deviation and a partially adaptive maximum likelihood specification. [ABSTRACT FROM AUTHOR]

This paper aims to develop some static and conditional (dynamic) models to predict portfolio returns in the Borsa Istanbul (BIST) that are calibrated to combine the capital asset-pricing model (CAPM) and corporate governance quality. In our conditional model proposals, both the traditional CAPM (beta) coefficient and model constant are allowed to vary on a binary basis with any degradation or improvement in the country's international trade competitiveness, and meanwhile a new variable is added to the models to represent the portfolio's sensitivity to excess returns on the governance portfolio (BIST Governance) over the market. Some robust and Bayesian linear models have been derived using the monthly capital gains between December 2009 and December 2019 of four leading index portfolios. A crude measure is then introduced that we think can be used in assessing governance quality of portfolios. This is called governance quality score (GQS). Our robust regression findings suggest both superiority of conditional models assuming varying beta coefficients over static model proposals and significant impact of corporate governance quality on portfolio returns. The Bayesian model proposals, however, exhibited robust findings that favor the static model with fixed beta estimates and were lacking in supporting significance of corporate governance quality. [ABSTRACT FROM AUTHOR]

The paper explains why firms with high dispersion of analyst forecasts earn low future returns. These firms beat the capital asset pricing model in periods of increasing aggregate volatility and thereby provide a hedge against aggregate volatility risk. The aggregate volatility risk factor can explain the abnormal return differential between high- and low-disagreement firms. This return differential is higher for firms with abundant real options, and this fact can be explained by aggregate volatility risk. Aggregate volatility risk can also explain why the link between analyst disagreement and future returns is stronger for firms with high short-sale constraints. [ABSTRACT FROM PUBLISHER]

Copyright of Journal of Administration & Economics is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The determination of the expected return on equity based on the capital asset pricing model (CAPM) is an internationally recognized method, although the underlying theory is not without criticism and therefore leaves sufficient room for interpretation. Strictly speaking, the expected return on equity cannot be determined per se, as all parameters of the CAPM have to be estimated and contain measurement errors. The statistical measurement errors would have to be included in the calculation of the expected return on equity. The paper discusses the current view on how the expected return on equity is determined in the Germen‐speaking countries and presents an approach to transfer the measurement errors of the parameter risk‐free rate, market risk premium, and company beta to the calculated return on equity using the Gaussian law of error propagation. [ABSTRACT FROM AUTHOR]

The ongoing COVID-19 pandemic has strongly reminded equity investors that rare but extreme events occur from time to time. At the individual firm level, such events also impact the likelihood of bankruptcy, a feature that is not well represented in the traditional Capital Asset Pricing Model. This paper presents a functional form for equity asset pricing that is realistic, and reconciles the observed high equity risk premium with the observed lower than expected slope of the Security Market Line. Most importantly, we will demonstrate how including the potential for such large events changes traditional views of equity returns and the known factors that contribute to those returns. On the basis of empirical examination of a dataset stretching over 30 years without survivorship bias, we conclude that when the probabilities of rare extreme events are considered, strategies that focus on "alpha" (risk adjusted return) as defined in Jensen (J Finance 23(2):389–416, 1967) are structurally superior to "smart beta" strategies that seek to outperform a market index benchmark. [ABSTRACT FROM AUTHOR]

The four equity market factors from Fama and French (1993) and Carhart (1997) are pervasive in academic empirical asset pricing studies and in applied portfolio allocation. However, the joint distributional dynamics of the factors are rarely studied. For investors basing strategies on the factors or using them to model the returns of a wider set of assets, proper risk management requires knowing the joint factor dynamics which we model. We find striking evidence of asymmetric tail dependence across the factors. While the linear factor correlations are small and even negative, the extreme correlations are large and positive, so that the linear correlations drastically overstate the benefits of diversification across the factors. We model the nonlinear factor dependence and explore its economic importance in a portfolio allocation experiment which shows that significant economic value is earned when acknowledging the nonlinear dependence. [ABSTRACT FROM AUTHOR]

We test whether asymmetric preferences for losses versus gains affect the prices of cash flow versus discount rate risk. We construct a return decomposition distinguishing cash flow and discount rate betas in up and down markets. Using U.S. data, we find that downside cash flow and discount rate betas carry the largest premia. Downside cash flow risk is priced consistently across different samples, periods, and return decomposition methods. It is the only component of beta with significant out-of-sample predictive ability. Downside cash flow premia mainly occur for small stocks, while large stocks are compensated for symmetric cash-flow-related risk. [ABSTRACT FROM PUBLISHER]

This paper shows that low‐risk anomalies in the capital asset pricing model and in traditional factor models arise when investors require compensation for coskewness risk. Empirically, we find that option‐implied ex ante skewness is strongly related to ex post residual coskewness, which allows us to construct coskewness factor‐mimicking portfolios. Controlling for skewness renders the alphas of betting‐against‐beta and betting‐against‐volatility insignificant. We also show that the returns of beta‐ and volatility‐sorted portfolios are driven largely by a single principal component, which in turn is explained largely by skewness. [ABSTRACT FROM AUTHOR]

The paper revisits the two major concepts for average historical returns, i. e., the arithmetic mean and the geometric mean, in order to clarify which approach must be used for which application. Conducting a rigorous derivation with a geometric Brownian motion, we can explain that the appropriate discount rate refers to the mean discrete return and, therefore, to the arithmetic mean rather than the often wrongly applied geometric mean. Likewise, the prominent CAPM relationship between the expected asset return and the expected market return is only valid for the arithmetic mean rather than the geometric mean. Using historical data for the German stock index, we illustrate that an inconsistent application can cause severe deviations from the meaningful ex-ante expected performance of an asset, the true discount rate, the true CAPM risk-adjusted return, and the intended performance scenarios of packaged retail and insurance-based investment products (PRIIPs) within the key information documents (KIDs). [ABSTRACT FROM AUTHOR]

Copyright of Hacettepe University Journal of Economics & Administrative Sciences / Hacettepe Üniversitesi Iktisadi ve Idari Bilimler Fakültesi Dergisi is the property of Hacettepe University, Faculty of Economic & Administrative Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Using monthly returns for over 27,000 stocks from 49 countries over a three-decade period, we show that a multifactor model that includes factor-mimicking portfolios based on momentum and cash flow-to-price captures significant time-series variation in global stock returns, and has lower pricing errors and fewer model rejections than the global CAPM or a popular model that uses size and book-to-market factors. We find reliable evidence that the global cash flow-to-price factor is related to a covariance risk model. In contrast, we reject the covariance risk model in favor of a characteristic model for size and book-to-market factors. [ABSTRACT FROM PUBLISHER]

We propose an asset pricing model with generalized disappointment aversion preferences and long-run volatility risk. With Markov switching fundamentals, we derive closed-form solutions for all returns moments and predictability regressions. The model produces first and second moments of price-dividend ratios and asset returns as well as return predictability patterns in line with the data. Compared to Bansal and Yaron (2004), we generate (i) more predictability of excess returns by price-dividend ratios; (ii) less predictability of consumption growth rates by price-dividend ratios. Our results do not depend on a value of the elasticity of intertemporal substitution greater than one. [ABSTRACT FROM PUBLISHER]

This paper introduces a consumption-based capital asset pricing model (CCAPM) that combines undiversifiable income shocks and external habit formation. Using US state-level data. the paper provides realistic estimates for preference parameters when the external habit of the state investors is based on the consumption of the four Census regions. The model also implies four asset pricing factors: the cross-sectional means of consumption growth and habit growth (capturing national systematic risk) and the cross-sectional variances of consumption growth and habit growth (capturing regional systematic risk). This four-factor model has greater power in explaining expected returns than the CCAPM described in Breeden (1979). [ABSTRACT FROM AUTHOR]

This paper examines time-series forecast errors of expected returns from conditional and unconditional asset pricing models for portfolio and individual firm equity returns. A new result that increases predictive precision concerning model specification and forecasting is introduced. Conditional versions of the models generally produce higher mean squared errors than unconditional versions for step ahead prediction. This holds for individual firm data when the instruments are firm specific. Mean square forecast error decompositions indicate that the asset pricing models produce relatively unbiased predictions, but the variance is severe enough to ruin the step ahead predictive ability beyond that of a constant benchmark. [ABSTRACT FROM AUTHOR]

When ambiguity-averse investors process news of uncertain quality, they act as if they take a worst-case assessment of quality. As a result, they react more strongly to bad news than to good news. They also dislike assets for which information quality is poor, especially when the underlying fundamentals are volatile. These effects induce ambiguity premia that depend on idiosyncratic risk in fundamentals as well as skewness in returns. Moreover, shocks to information quality can have persistent negative effects on prices even if fundamentals do not change. [ABSTRACT FROM AUTHOR]

We solve a model with two i.i.d. Lucas trees. Although the corresponding one-tree model produces a constant price-dividend ratio and i.i.d. returns, the two-tree model produces interesting asset-pricing dynamics. Investors want to rebalance their portfolios after any change in value. Because the size of the trees is fixed, prices must adjust to offset this desire. As a result, expected returns, excess returns, and return volatility all vary through time. Returns display serial correlation and are predictable from price-dividend ratios. Return volatility differs from cash-flow volatility, and return shocks can occur without news about cash flows. [ABSTRACT FROM AUTHOR]

This paper examines whether investor sentiment about the stock market affects prices of the S&P 500 options. The findings reveal that the index option volatility smile is steeper (flatter) and the risk-neutral skewness of monthly index return is more (less) negative when market sentiment becomes more bearish (bullish). These significant relations are robust and become stronger when there are more impediments to arbitrage in index options. They cannot be explained by rational perfect-market-based option pricing models. Changes in investor sentiment help explain time variation in the slope of index option smile and risk-neutral skewness beyond factors suggested by the current models. [ABSTRACT FROM AUTHOR]

International asset pricing models suggest that barriers to portfolio flows and availability of market substitutes affect the degree and time variation of world market integration. We use GARCH-in-mean methodology to assess the evolution in market integration for eight emerging markets over the period 1977-2000. Our results suggest that while local risk is still a relevant factor in explaining time variation of emerging market returns, none of the countries appear to be completely segmented. We find that there are substantial cross-market differences in the degree of integration. The evolution toward more integrated financial markets is apparent although at times we do observe reversals. In addition, we provide clear evidence on the impropriety of directly using correlations of market-wide index returns as a measure of market integration. Finally, financial market development and financial liberalization policies play important roles in integrating emerging markets. [ABSTRACT FROM AUTHOR]

Our paper confirms and extends the central result of Acker and Duck (2007) on reference-day risk. Using data from Datastream, they show substantial variations in the estimated monthly returns, variances, and betas across series beginning on different (reference) days of the same month. We show that the results are similar when we use data from the Center for Research in Security Prices daily files. We also show that reference-day risk extends to estimations based on daily returns. Finally, we find variations across series of daily returns computed using prices at different times of the day (reference-time risk). These findings carry potential implications for prior papers that rely on monthly or daily returns for analysis. [ABSTRACT FROM AUTHOR]

This paper derives a real options model that accounts for the value premium. If real investment is largely irreversible, the book value of assets of a distressed firm is high relative to its market value because it has idle physical capital. The firm's excess installed capital capacity enables it to fully benefit from positive aggregate shocks without undertaking costly investment. Thus, returns to equity holders of a high book-to-market firm are sensitive to aggregate conditions and its systematic risk is high. Simulations indicate that the model goes a long way toward accounting for the observed value premium. [ABSTRACT FROM AUTHOR]

We assemble the announcement and actual introduction dates of electronic trading by the leading exchanges of 120 countries to examine the impact of automation, controlling for risk factors and economic conditions. Dividend growth models and international CAPM suggest a significant decline in the equity premium, especially in emerging markets. Consistent with this reduction in the equity premium in the long run, there is a positive short-term price reaction to the switch. Further analysis of trading turnover supports the notion that electronic trading enhances the liquidity and informativeness of stock markets, leading to a reduction in the cost of capital. [ABSTRACT FROM AUTHOR]

The conditional covariance between aggregate stock returns and aggregate consumption growth varies substantially over time. When stock market wealth is high relative to consumption, both the conditional covariance and correlation are high. This pattern is consistent with the "composition effect," where agents' consumption growth is more closely tied to stock returns when stock wealth is a larger share of total wealth. This variation can be used to test asset-pricing models in which the price of consumption risk varies. After accounting for variations in this price, the relation between expected excess stock returns and the conditional covariance is negative. [ABSTRACT FROM AUTHOR]

In a model with housing collateral, the ratio of housing wealth to human wealth shifts the conditional distribution of asset prices and consumption growth. A decrease in house prices reduces the collateral value of housing, increases household exposure to idiosyncratic risk, and increases the conditional market price of risk. Using aggregate data for the United States, we find that a decrease in the ratio of housing wealth to human wealth predicts higher returns on stocks. Conditional on this ratio, the covariance of returns with aggregate risk factors explains 80% of the cross-sectional variation in annual size and book-to-market portfolio returns. [ABSTRACT FROM AUTHOR]

This paper investigates the importance of idiosyncratic consumption risk for the cross-sectional variation in asset returns. We find that besides the rate of aggregate consumption growth, the cross-sectional variance of consumption growth is also a priced factor. This suggests that consumers are not fully insured against idiosyncratic consumption risk, and that asset returns reflect their attempts to reduce their exposure to this risk. The resulting two-factor consumption-based asset pricing model significantly outperforms the CAPM, and its performance compares favorably with that of the Fama-French three-factor model. [ABSTRACT FROM AUTHOR]

We model consumption and dividend growth rates as containing (1) a small long-run predictable component, and (2) fluctuating economic uncertainty (consumption volatility). These dynamics, for which we provide empirical support, in conjunction with preferences, can explain key asset markets phenomena. In our economy, financial markets dislike economic uncertainty and better long-run growth prospects raise equity prices. The model can justify the equity premium, the risk-free rate, and the volatility of the market return, risk-free rate, and the price--dividend ratio. As in the data, dividend yields predict returns and the volatility of returns is time-varying. [ABSTRACT FROM AUTHOR]

We analyze the specifications of option pricing models based on time-changed Lévy processes. We classify option pricing models based on the structure of the jump component in the underlying return process, the source of stochastic volatility, and the specification of the volatility process itself. Our estimation of a variety of model specifications indicates that to better capture the behavior of the S&P 500 index options, we need to incorporate a high frequency jump component in the return process and generate stochastic volatilities from two different sources, the jump component and the diffusion component. [ABSTRACT FROM AUTHOR]

This is the first study that uses option pricing model to compute default measures for individual firms and assess the effect of default risk on equity returns. The size effect is a default effect, and this is also largely true for the book-to-market (BM) effect. Both exist only in segments of the market with high default risk. Default risk is systematic risk. The Fama–French (FF) factors SMB and HML contain some default-related information, but this is not the main reason that the FF model can explain the cross section of equity returns. [ABSTRACT FROM AUTHOR]

This article studies equilibrium asset pricing when agents face nonnegative wealth constraints. In the presence of these constraints it is shown that options on the market portfolio are nonredundant securities and the economy's pricing kernel is a function of both the market portfolio and the nonredundant options. This implies that the options should be useful for explaining risky asset returns. To test the theory, a model is derived in which the expected excess return on any risky asset is linearly related (via a collection of betas) to the expected excess return on the market portfolio and to the expected excess returns on the nonredundant options. The empirical results indicate that the returns on traded index options are relevant for explaining the returns on risky asset portfolios. [ABSTRACT FROM AUTHOR]

Roll [1988] observes low R² statistics for common asset pricing models due to vigorous firm-specific return variation not associated with public information. He concludes that this implies "either private information or else occasional frenzy unrelated to concrete information" [p. 56]. We show that firms and industries with lower market model R² statistics exhibit higher association between current returns and future earnings, indicating more information about future earnings in current stock returns. This supports Roll's first interpretation: higher firm-specific return variation as a fraction of total variation signals more information-laden stock prices and, therefore, more efficient stock markets. [ABSTRACT FROM AUTHOR]

The fragility of the CAPM has led to a resurgence of research that frequently uses trading strategies based on sorting procedures to uncover relations between firm characteristics (such as "value" or "glamour") and equity returns. We examine the propensity of these strategies to generate statistically and economically significant profits due to our familiarity with the data. Under plausible assumptions, data snooping can account for up to 50 percent of the in-sample relations between firm characteristics and returns uncovered using single (one-way) sorts. The biases can be much larger if we simultaneously condition returns on two (or more) characteristics. [ABSTRACT FROM AUTHOR]

Financial economists have intensely debated the performance of IPOs using data after the formation of Nasdaq. This paper sheds light on this controversy by undertaking a large, out-of-sample study: We examine the performance for five years after listing of 3,661 U.S. IPOs from 1935 to 1972. The sample displays some underperformance when event-time buy-and-hold abnormal returns are used. The underperformance disappears, however, when cumulative abnormal returns are utilized. A calendar-time analysis shows that over the entire period, IPOs return as much as the market. The intercepts in CAPM and Fama-French regressions are insignificantly different from zero, suggesting no abnormal performance. [ABSTRACT FROM AUTHOR]

I develop an agency model where returns-chasing behavior by mutual fund investors causes beta not to be priced to the degree predicted by the standard CAPM. Mutual fund investors chase returns through time, precipitating unusually large aggregate cash inflows into mutual funds just after dramatic market runups. Mutual fund investors also chase returns cross-sectionally across funds so that the highest-performing funds capture the largest fraction of the aggregate inflows into the mutual fund sector. The interaction of these two flow-performance relationships induces an asymmetry in payoffs to mutual funds where fund managers care most about outperforming peers during bull markets. Since high-beta stocks tend to outperform in up markets, active fund managers tilt their portfolios toward high-beta stocks, reducing the beta risk premium in equilibrium. To support the model's time-series flow-performance assumption, I show empirically that market returns have a large economic impact on subsequent aggregate mutual fund flows. In addition, data on mutual fund holdings suggest that the aggregate stock portfolio held by equity funds is overweighted in high-beta stocks relative to the overall market, though this does not include the cash held by mutual funds. Fama-MacBeth tests indicate that the equity premium falls only slightly as the relative size of mutual funds increases, and the relation is not statistically significant. [ABSTRACT FROM AUTHOR]

A growing number of researchers argue that time-series patterns in returns are due to investor irrationality and thus can be translated into abnormal profits. Continuation of short-term returns or momentum is one such pattern that has defied any rational explanation and is at odds with market efficiency. This paper shows that profits to momentum strategies can be explained by a set of lagged macroeconomic variables and payoffs to momentum strategies disappear once stock returns are adjusted for their predictability based on these macroeconomic variables. Our results provide a possible role for time-varying expected returns as an explanation for momentum payoffs. [ABSTRACT FROM AUTHOR]