A key prediction of the Capital Asset Pricing Model (CAPM) is that idiosyncratic risk is not priced by investors because in the absence of frictions it can be fully diversified away. In the presence of constraints on diversification, refinements of the CAPM conclude that the part of idiosyncratic risk that is not diversified should be priced. Recent empirical studies yielded mixed evidence with some studies finding positive correlation between idiosyncratic risk and stock returns, while other studies reported none or even negative correlation. In this thesis we revisit the problem whether idiosyncratic risk is priced by the stock market and what the probable causes for the mixed evidence produced by other studies, using monthly data for the US market covering the period from 1980 until 2013. We find that one-period volatility forecasts are not significantly correlated with stock returns. On the other hand, the mean-reverting unconditional volatility is a robust predictor of returns. Consistent with economic theory, the size of the premium depends on the degree of 'knowledge' of the security among market participants. In particular, the premium for Nasdaq-traded stocks is higher than that for NYSE and Amex stocks. We also find stronger correlation between idiosyncratic risk and returns during recessions, which may suggest interaction of risk premium with decreased risk tolerance or other investment considerations like flight to safety or liquidity requirements. The difference between the correlations between the idiosyncratic volatility estimators used by other studies and the true risk metric - the mean-reverting volatility - is the likely cause for the mixed evidence produced by other studies. Our results are robust with respect to liquidity, momentum, return reversals, unadjusted price, liquidity, credit quality, omitted factors, and hold at daily frequency.

<p>My dissertation, consisting of three related essays, aims to understand the role of macroeconomic risks in the stock and bond markets. In the first chapter, I build a financial intermediary sector with a leverage constraint a la Gertler and Kiyotaki (2010) into an endowment economy with an independently and identically distributed consumption growth process and recursive preferences. I use a global method to solve the model, and show that accounting for occasionally binding constraint is important for quantifying the asset pricing implications. Quantitatively, the model generates a procyclical and persistent variation of price-dividend ratio, and a high and countercyclical equity premium. As a distinct prediction from the model, in the credit crunch, high TED spread, due to a liquidity premium, coincides with low stock price and high stock market volatility, a pattern I confirm in the data.</p><p>In the second chapter, which is coauthored with Hengjie Ai and Mariano Croce, we model investment options as intangible capital in a production economy in which younger vintages of assets in place have lower exposure to aggregate productivity risk. In equilibrium, physical capital requires a substantially higher expected return than intangible capital. Quantitatively, our model rationalizes a significant share of the observed difference in the average return of book-to-market-sorted portfolios (value premium). Our economy also produces (1) a high premium of the aggregate stock market over the risk-free interest rate, (2) a low and smooth risk-free interest rate, and (3) key features of the consumption and investment dynamics in the U.S. data.</p><p>In the third chapter, I study the joint determinants of stock and bond returns in Bansal and Yaron (2004) long-run risks model framework with regime shifts in consumption and inflation dynamics -- in particular, the means, volatilities, and the correlation structure between consumption growth and inflation are regime-dependent. This general equilibrium framework can (1) generate time-varying and switching signs of stock and bond correlations, as well as switching signs of bond risk premium; (2) quantitatively reproduce various other salient empirical features in stock and bond markets, including time-varying equity and bond return premia, regime shifts in real and nominal yield curve, the violation of expectations hypothesis of bond returns. The model shows that term structure of interest rates and stock-bond correlation are intimately related to business cycles, while long-run risks play a more important role to account for high equity premium than business cycle risks.</p> / Dissertation

Bitcoins have the potential to fundamentally change the way value is transferred globally. Their rapid adoption over the past four years has led many to consider the possible results of such a technology. To be a viable currency, however, it is imperative that the market for trading Bitcoins is efficient. By examining the changes in availability of predictable outsized returns and market liquidity over time, this paper examines historical Bitcoin market efficiency and establishes correlations between market liquidity, price predictability, and return data. The results provide insight into the turbulent nature of Bitcoin market efficiency over the past years, but cannot definitively measure the magnitude of the change due to the limitations in efficiency analysis. The most meaningful result of this study, however, is the statistically significant short-horizon price predictability that existed over the duration of the study, which has implications for Bitcoin market efficiency as well as for continued research in short-horizon Bitcoin price forecasting models.

This thesis includes three essays on topics related to the predictability of market returns. I investigate i) the predictability of market returns from an adjusted version of cay ratio (cayadj), ii) the explanatory power of a conditional version of the consumption-CAPM which uses predictor variables to scale the pricing kernel, and iii) whether information about future market returns can be extracted from a large set of commodity data. The first essay studies the predictive ability of cayadj . In Campbell and Mankiw (1989), the consumption-wealth ratio is represented as a linear function of expected market returns and consumption growth. Lettau and Ludvigson (2001) build their study on Campbell and Mankiw (1989) and estimate the ratio cay as a proxy for the consumption-wealth ratio, assuming that the fluctuation in expected consumption growth is constant. I argue that the variation in expected consumption growth should be taken into consideration and propose adjusting the cay ratio by the estimates of expected consumption growth. After making the adjustment, I find that the predictabilities of market returns, particularly at annual, bi-annual, and tri-annual horizons, are greatly improved. The significant predictive ability of cayadj still holds in out-of-sample forecasts. The second essay examines the performance of a conditional version of the consumption-CAPM, where conditioning variables are used to scale the pricing kernel. I find that incorporating the conditioning information into the standard consumption-CAPM greatly improves the performance in asset pricing tests, particularly when using cayadj as the conditioning variable. Moreover, the performance of conditional consumption-CAPM is as good as the ultimate consumption risk model (Parker and Julliard, 2005) which measures the consumption risk over several quarters. Further tests show that the factors of conditional consumption-CAPM drive out the consumption risk measured over several quarters. The third essay evaluates the ability of lagged commodity returns to forecast market returns. In order to exploit the predictive information from a relatively large amount of commodity returns, I apply the partial-least-squares (PLS) method pioneered by Kelly and Pruitt (2013). I find that the commodity returns measured over previous twelve months show strong predictive power in monthly and three-month forecasts, in-sample and out-of-sample. The findings are robust to controlling for risk factors such as momentum, Fama-French three factors and industry returns previously identified to be significant predictors of market returns (Hong, Torous and Valkanov, 2007).

<p>In Chapter 1, I construct a new proxy for Tobin's q that incorporates the replacement cost of patent capital. This proxy, PI (physical plus intangible) q, explains up to 64\% more variation in investment than other proxies for q. Furthermore, investment is more sensitive to PI q than to other proxies for q. Although investment is predicted more accurately by, and is more sensitive to, PI q, controlling for PI q leads to relatively higher, not lower, cash flow coefficients. All results are stronger in subsamples with more patent capital. Overall, using PI q strengthens the historically weak investment-q relation.</p> <p><br></p> <p>Chapter 2 includes Noah Stoffman and M. Deniz Yavuz as co-authors, and in this chapter, we find that small innovators (i.e., small, innovative firms) earn higher returns than small non-innovators for up to five years. We find no such innovative premium among large firms. A battery of tests shows that our results are explained by risk, not investor underreaction. Small innovators are especially risky because they focus more on risky product innovation and rely more on organization capital that amplifies their systematic risk. In addition, small innovators contribute significantly to the size premium. Overall, small innovators have a higher cost of equity, which potentially explains why they rely heavily on internal capital.</p>

This dissertation consists of two essays investigating the trading by institutions and its impact on the stock market. In the first essay, I investigate why changes in institutional breadth predict return. I first show that changes in breadth are positively associated with abnormal returns over the following four quarters. I then demonstrate that this return predictability can be attributed to the information about the firms' future operating performance. When I examine different types of institutions independently, I find that the predictive power varies across the population of institutions. More specifically, institutions that follow active management style are better able to predict future returns than the passive institutions, and their predictive power appears to be associated with information about future earnings growth. These findings are consistent with the information hypothesis that changes in breadth of institutional ownership can predict return because they contain information about the fundamental value of firms. In the second essay, I examine institutional herding behavior and its impact on stock prices. I document that herds by institutions usually last for more than one quarter and that herds occur more frequently for small and medium size stocks. I find that after herds end, there are reversals in stocks returns for up to four quarters. The magnitude of reversals is positively related to the duration of herding, and negatively related to the price impact of current herding activity. This pattern in returns prevails for all sub-periods examined and is concentrated in small and medium size stocks. My findings suggest that institutional herding may destabilize stock prices.

[pt] As ações de valor tendem a ter retornos mais altos, em média. Seu desempenho é particularmente mais forte quando o spread de valor, definido pelas diferenças nos índices B/M, entre ações de valor e crescimento é maior. Neste artigo, mostramos que essa previsibilidade se torna ainda mais forte quando contabilizamos o spread no crescimento, medido pelas expectativas de curto prazo, expectativas de longo prazo e crescimento passado. Utilizamos as expectativas dos analistas com relação ao lucro de cada empresa para construir uma série de proxies para as expectativas de crescimento de lucros. Concluímos que adicionar a razão de crescimento aumenta muito o poder preditivo também em testes fora da amostra. / [en] Value stocks tend to have higher returns on average. Their performance is particularly stronger when the value spread, defined by differences in B/M ratios, between value and growth stocks is wider. In this paper, we show that this predictability becomes even stronger when we account for the spread in growth, measured by short-term expectations, long-term expectations, and past growth. We use analyst expectations on individual firm s earnings to construct a range of proxies for earnings growth expectations. We find that adding the growth spread greatly increases the predictive power also in out-of-sample tests.

Previous research has shown that expected market returns vary over time and that this variation can be predicted by variables such as dividend yields and book-to-market ratios (Fama and French (1989); Campbell and Thompson (2008)). Further, macroeconomic variables affect asset returns (Flannery and Protopapadikas (2002)). We investigate whether the investment decisions of mutual fund investors incorporate information about future stock returns contained in predictive and macroeconomic variables. If investors incorporate this information, then variation in flows should be related to that in predictive variables and macroeconomic variables. Using quarterly flow data from 1951Q4 to 2007Q4, we find that both predictive and macroeconomic variables have a relatively small impact on flows. Our results suggest that fund investors, as a group, fail to adequately incorporate the information contained in these variables. Existing literature documents that (i) an asymmetric low-performance relationship creates an incentive for managers to extract rents from shareholders, and (ii) managers respond to such incentives by strategically altering portfolio risk. Using the semiparametric regression model proposed by Chevalier and Ellison (1997), we show that the flow-performance relationship has become linear in recent years (2000-2009) and fund managers no longer respond to such incentives. Fund managers, however, change portfolio risk in response to past performance; such changes have a positive impact on fund performance and are indicative of a better alignment of interests between managers and shareholders. / Ph. D.

Cette thèse étudie plusieurs aspects de la dynamique du rendement des actifs. Les trois premiers chapitres ont pour objet la formation des prix sur le marché de l'art. Le premier chapitre établit que les prix peuvent s'écarter temporairement, et de manière partiellement prévisible, de la valeur fondamentale. Cet article a été publié dans Economics Letters (Volume 122, Issue 3, pp. 432-434) et a été écrit avec Christophe Spaenjers et Luc Renneboog. Le chapitre 2 étudie la vitesse de transmission de l'information dans les prix agrégés du marché de l'art. Le chapitre 3 analyse la corrélation entre prix et volume et étaye des éléments concordant avec une hypothèse de bulles. Il a été écrit avec Luc Renneboog. Le chapitre 4 s'attache à la modélisation empirique de la prédictibilité d'indices boursiers sur quinze pays industrialisés. Il propose de combiner l'information donnée par chaque pays de façon à améliorer le pouvoir prédictif. / The doctoral thesis studies several aspects of asset returns dynamics. The first three chapters focus on returns in the fine art market. The first chapter provides evidence for the existence of a slow-moving fad component in art prices that induces short-term return predictability. The article has been published in Economics Letters (Volume 122, Issue 3, pp. 432-434), and was written together with Christophe Spaenjers and Luc Renneboog. Chapter 2 investigates how fast is information incorporated into aggregate art prices. Chapter 3 studies price-volume dynamics in the art market and documents evidence of bubble patterns in prices and is written with Luc Renneboog. Chapter 4 proposes a Bayesian estimation procedure that makes efficient use of cross-sectional information, and revisits the return predictability literature.

We evaluate the validity of the Adaptive Market Hypothesis (AMH) in a Swedish context by testing for stock return predictability on the OMXS30 stock index between 1986 and 2014 using daily returns and monthly two year moving subsamples. To our knowledge, this is the first study to evaluate the AMH in a Swedish context. Three tests for linear independence based on Lo and MacKinlay (1988) variance ratio test, namely the Chow and Denning joint test as well as Wright (2000) joint rank and sign tests are used. We also test for non-linear independence using the BDS test statistics. Presented in our findings is evidence of time-varying predictability where stock returns go through periods of return predictability and non-predictability. When evaluating the different market conditions (volatility, bull, bear, up, down and normal markets) we find that these different market conditions govern the degree of stock return predictability in different ways. Our findings support the AMH on the OMXS30 stock index and in contrast to previous research regarding market efficiency on the Swedish stock market, we do not find persistent stock return predictability over the short and long term.