An Information‐Based Theory of Time‐Varying Liquidity

We propose an information‐based theory to explain time variation in liquidity and link it to a variety of patterns in asset markets. In “normal times,” the market is fully liquid and gains from trade are realized immediately. However, the equilibrium also involves periods during which liquidity “dries up,” which leads to endogenous liquidation costs. Traders correctly anticipate such costs, which reduces their willingness to pay. This foresight leads to a novel feedback effect between prices and market liquidity, which are jointly determined in equilibrium. The model also predicts that contagious sell‐offs can occur after sufficiently bad news.     

Time‐Varying Asset Volatility and the Credit Spread Puzzle

Most extant structural credit risk models underestimate credit spreads—a shortcoming known as the credit spread puzzle. We consider a model with priced stochastic asset risk that is able to fit medium‐ to long‐term spreads. The model, augmented by jumps to help explain short‐term spreads, is estimated on firm‐level data and identifies significant asset variance risk premia. An important feature of the model is the significant time variation in risk premia induced by the uncertainty about asset risk. Various extensions are considered, among them optimal leverage and endogenous default.     

Value versus Growth: Time‐Varying Expected Stock Returns

Is the value premium predictable? We study time variations of the expected value premium using a two‐state Markov switching model. We find that when conditional volatilities are high, the expected excess returns of value stocks are more sensitive to aggregate economic conditions than the expected excess returns of growth stocks. As a result, the expected value premium is time varying. It spikes upward in the high volatility state, only to decline more gradually in the subsequent periods. However, out‐of‐sample predictability of the value premium is close to nonexistent.     

Uncertainty,Time‐Varying Fear,and Asset Prices

I construct an equilibrium model that captures salient properties of index option prices, equity returns, variance, and the risk‐free rate. A representative investor makes consumption and portfolio choice decisions that are robust to his uncertainty about the true economic model. He pays a large premium for index options because they hedge important model misspecification concerns, particularly concerning jump shocks to cash flow growth and volatility. A calibration shows that empirically consistent fundamentals and reasonable model uncertainty explain option prices and the variance premium. Time variation in uncertainty generates variance premium fluctuations, helping explain their power to predict stock returns.     

Time‐Varying Risk–Return Trade‐off in the Stock Market

We uncover a strong comovement of the stock market risk–return trade‐off with the consumption–wealth ratio (CAY). The finding reflects time‐varying investment opportunities rather than countercyclical aggregate relative risk aversion. Specifically, the partial risk–return trade‐off is positive and constant when we control for CAY as a proxy for investment opportunities. Moreover, conditional market variance scaled by CAY is negatively priced in the cross‐section of stock returns. Our results are consistent with a limited stock market participation model, in which shareholders require an illiquidity premium that increases with CAY, in addition to the risk premium that is proportional to conditional market variance.     

The Time‐Varying Volatility of Earnings and Aggregate Consumption Growth

Time‐varying specifications for the conditional variance of earnings of U.S. households are estimated with micro data over the period 1968–92. The cross‐sectional mean of the estimated time‐varying uncertainty of individual households has a significant impact on aggregate consumption growth. As such, aggregate precautionary savings may be more important than what is suggested by the results of estimating standard regression equations for aggregate consumption growth that incorporate only lagged income growth and the real interest rate. The estimation of a buffer stock consumption model with time‐varying earnings uncertainty suggests that the precautionary savings motive is cyclical and has become less important in the 1980s.     

Unconditional Tests of Linear Asset Pricing Models with Time‐Varying Betas

In conditional affine factor models, estimated risk prices should satisfy certain unconditional constraints. Specifically, a cross‐sectional estimate of the unconditional slope associated with a risk factor should equal the average price of risk of the factor. The estimated slope associated with the product of a risk factor and an instrument should be equal to the covariance of the factor risk premium with the instrument. We show that the constraints only apply to the conditional models with time‐varying betas. We identify an unconditional constraint on unconditional betas for time‐varying beta models and incorporate it into model tests. We show that imposing this unconditional constraint changes estimates of unconditional betas and risk prices significantly.     

Fund Manager Allocation

We show that fund families allocate their most skilled managers to market segments in which manager skill is rewarded best. In efficient markets, even skilled managers cannot generate excess returns. In less efficient markets, skilled managers can exploit inefficiencies and generate higher performance than unskilled managers. Fund families seem to be aware of the relation between skill, efficiency, and performance, and allocate more skilled managers to inefficient markets. They pursue this strategy when hiring new fund managers and when reassigning managers to funds within the family. Overall, we conclude that fund families allocate fund managers in an efficient way.     

A New Time‐Varying Parameter Autoregressive Model for U.S. Inflation Expectations

We study the evolution of U.S. inflation by means of a new noncausal autoregressive model with time‐varying parameters that outperforms the corresponding causal and constant‐parameter noncausal models in terms of fit and forecast accuracy. Our model also beats the unobserved component stochastic volatility (UCSV) model, one of the best‐performing univariate inflation forecasting models, in terms of both point and density forecasts. We also show how the new Keynesian Phillips curve can be estimated based on our noncausal model. Both expected and lagged inflation turn out important, but the former dominates in determining the current inflation.     

Luck versus Skill in the Cross‐Section of Mutual Fund Returns

The aggregate portfolio of actively managed U.S. equity mutual funds is close to the market portfolio, but the high costs of active management show up intact as lower returns to investors. Bootstrap simulations suggest that few funds produce benchmark‐adjusted expected returns sufficient to cover their costs. If we add back the costs in fund expense ratios, there is evidence of inferior and superior performance (nonzero true α) in the extreme tails of the cross‐section of mutual fund α estimates.     

Mutual Fund Stock‐Picking Skill: New Evidence from Valuation‐ versus Liquidity‐Motivated Trading

We propose a novel Trade Motivation Matrix that allows differentiating funds’ valuation‐motivated (VM) and liquidity‐motivated (LM) trades on single trade level. It thus enables analyses of stock‐picking skill on three levels: trade, stock, and fund. On trade level, we find significant outperformance of VM buys and significant underperformance of VM sells, indicating manager stock‐picking skills, especially during illiquid market periods. VM trades outperform LM trades, confirming negative performance effects due to flow risk, especially when market liquidity is low. On stock level, collective VM buying explains high future stock returns while collective VM selling is related to future losses, indicating wisdom of the crowd. On fund level, higher trading discretion, measured by a higher degree of VM trading, is observed for smaller, older funds holding higher cash buffers. Finally, higher trading discretion is related to higher future fund alpha, especially during illiquid times.     

Time‐Varying Capital Requirements and Disclosure Rules: Effects on Capitalization and Lending Decisions

We investigate how banks’ capital and lending decisions respond to changes in bank‐specific capital and disclosure requirements. We find that an increase in the bank‐specific regulatory capital requirement results in a higher bank capital ratio, brought about via less asset risk. A decrease in the requirement implies more lending to firms but also less Tier 1 capital and higher bank leverage. We do not observe differences between confidential and public disclosure of capital requirements. Our results empirically illustrate a tradeoff between bank resilience and a fostering of the economy through more bank lending using banks’ capital requirement as policy instrument.     

Bond Pricing with a Time‐Varying Price of Risk in an Estimated Medium‐Scale Bayesian DSGE Model

New Keynesian model in which households have Epstein–Zin preferences with time‐varying risk aversion and the central bank has a time‐varying inflation target can match the dynamics of nominal bond prices in the U.S. economy well. The model generates a large steady‐state term spread and its fitting errors for bond yields are comparable to those obtained from a nonstructural three‐factor model, and one‐third smaller than in models with a constant inflation target or risk aversion. Including data on interest rates has large effects on variance decompositions, making investment technology shocks much less important than found in other recent papers.     

Mutual Fund Manager Forecasting Behavior

I examine publicly released annual earnings forecasts issued in conjunction with stock recommendations by mutual fund managers of actively managed open-end mutual funds. I find that mutual fund manager annual earnings forecasts systematically overestimate the earnings number later disclosed at the annual earnings announcement. In further analyses, I attempt to distinguish between two explanations for this forecast bias: an untruthful reporting bias (market manipulation) and a truthful cognitive bias (optimism). These explanations generate different predictions about the timing of changes in fundholdings of forecasted securities between the forecast release and annual earnings announcement dates. I interpret my findings as more consistent with an optimism explanation for mutual fund manager annual forecast bias and less consistent with a market manipulation explanation for this bias. I am, however, unable to eliminate an unobservable selection bias either in the decision of the mutual fund manager to report a forecast publicly or in the media's decision to publish that forecast as an explanation for my finding that mutual fund manager forecasts are biased.     

The Changing International Transmission of Financial Shocks: Evidence from a Classical Time‐Varying FAVAR

We study the changing international transmission of financial shocks over the period 1971–2012. Global financial shocks are measured as unexpected changes of a U.S. financial conditions index (FCI), developed by Hatzius et al. (2010). We model the FCI jointly with a large international data set through a time‐varying parameter factor‐augmented VAR and find that financial shocks have a considerable impact on growth in the nine countries considered. Moreover, financial shocks during the global financial crisis are found to be large by historical standards. They explain approximately 20% of GDP growth variation on average over 2008–9, compared to an average of 5% prior to the crisis.     

Board Independence and Mutual Fund Manager Turnover

This paper studies the relationship between board independence and manager turnover in the mutual fund industry. Using the Lipper 2003 mutual fund board data, we find that manager turnover is more likely to happen to funds with poor prior performance and more independent boards. Consistent with previous studies such as Tufano and Sevick (1997), our research provides new evidence in support of the Securities and Exchange Commission's approach of improving fund governance by promoting board independence.     

Portfolio Manager Ownership and Mutual Fund Performance

This paper examines the association between a mutual fund manager's personal fund investment and mutual fund performance. From a data set of newly released managerial ownership disclosures, I find that fund ownership levels are diverse and, in many instances, quite large. Mutual fund returns are increasing in the level of managerial investment, consistent with personal ownership realigning decision-maker and shareholder interests. Also consistent with the reduction of agency costs, I find that managerial ownership is inversely related to fund turnover. However, there is no evidence of an association between managerial ownership and a mutual fund's tax burden.