Cash holdings,risk, and expected returns

In this paper I develop and empirically test a model that highlights how the correlation between cash flows and a source of aggregate risk affects a firm's optimal cash holding policy. In the model, riskier firms (i.e., firms with a higher correlation between cash flows and the aggregate shock) are more likely to use costly external funding to finance their growth option exercises and have higher optimal savings. This precautionary savings motive implies a positive relation between expected equity returns and cash holdings. In addition, this positive relation is stronger for firms with less valuable growth options. Using a data set of US pubic companies, I find evidence consistent with the model's predictions.     

Where do betas come from? Asset price dynamics and the sources of systematic risk

In this article we break asset's betas with common factors intocomponents attributable to news about future cash flows, realinterest rates, and excess returns. To achieve this decomposition,we use a vector autoregressive time-series model and an approximatelog-linear present value relation. The betas of industry andsize portfolios with the market are largely attributed to changingexpected returns. Betas with inflation and industrial productionreflect opposing cash flow and expected return effects. We alsoshow how asset pricing theory restricts the expected excessreturn components of betas.     

A Habit-Based Explanation of the Exchange Rate Risk Premium

This paper presents a model that reproduces the uncovered interest rate parity puzzle. Investors have preferences with external habits. Countercyclical risk premia and procyclical real interest rates arise endogenously. During bad times at home, when domestic consumption is close to the habit level, the representative investor is very risk averse. When the domestic investor is more risk averse than her foreign counterpart, the exchange rate is closely tied to domestic consumption growth shocks. The domestic investor therefore expects a positive currency excess return. Because interest rates are low in bad times, expected currency excess returns increase with interest rate differentials.     

Investor recognition and stock returns

It is well established that investment fundamentals, such as earnings and cash flows, can explain only a small proportion of the variation in stock returns. We find that investor recognition of a firm’s stock can explain relatively more of the variation in stock returns. Consistent with Merton’s (J Finance 42(3):483–510, 1987) theoretical analysis, we show that (i) contemporaneous stock returns are positively related to changes in investor recognition, (ii) future stock returns are negatively related to changes in investor recognition, (iii) the above relations are stronger for stocks with greater idiosyncratic risk and (iv) corporate investment and financing activities are both positively related to changes in investor recognition. Our research suggests that investors and managers who are concerned with firm valuation should consider investor recognition in addition to accounting information and related investment fundamentals.     

Investor flows and stock market returns

This study simultaneously analyzes the relation between aggregate stock market returns and cash flows (net purchases of equity) from a broad array of investor groups in the United States over a long period of time from 1952 to 2004. We find strong evidence that quarterly flows are autocorrelated for each of the different investor groups. We further document a significant and positive contemporaneous relation between stock market returns and flows of Mutual Funds and Foreign Investors.     

Tracking down distress risk

This paper shows that exposure to aggregate distress risk is the underlying source of the premiums for the Fama-French size (SMB) and value (HML) factors. Using a unique data set of aggregate business failures of both private and public firms from 1926 to 1997, I build portfolios that track news about future firm failures. These tracking portfolios optimally hedge aggregate distress risk and earn a Capital Asset Pricing Model (CAPM) alpha of approximately −4% a year. Both HML and SMB predict changes in future failure rates. Small stocks have lower returns than large stocks and value stocks have lower returns than growth stocks when the market expects an increase in future failure rates. Finally, a two-factor model with the market and the tracking portfolio for aggregate distress as factors does as well as the Fama-French three-factor model in pricing the 25 size and book-to-market sorted portfolios.     

Contrarian flows,consumption and expected stock returns

We investigate the relation between contrarian flows, consumption growth, and market risk premium. We construct a contrarian flows measure by summing up the capital flows to stocks that go against the total flow of the aggregate market. We show that the contrarian flows are negatively influenced by the same-quarter consumption growth. During bad times, the majority of investors who are affected by the negative shock reduce their equity exposure, and these extra supplies of risky assets are absorbed by contrarian investors who are least affected by the consumption shock. Using quarterly stock market data, we find that the contrarian flows forecast market returns at short-to-intermediate horizons. The predictability stems from the component that is explained by the consumption growth, and therefore the consumption growth contains valuable information about the market risk premium. Moreover, the predictability is stronger for growth stocks than for value stocks, and hence it negatively predicts the value premium. This is because the contrarian flows measure the market risk premium and growth stocks bear more discount rate risk than value stocks. Out-of-sample tests show that the main results are robust to data-snooping bias.     

Dumb money: Mutual fund flows and the cross-section of stock returns

We use mutual fund flows as a measure of individual investor sentiment for different stocks, and find that high sentiment predicts low future returns. Fund flows are dumb money–by reallocating across different mutual funds, retail investors reduce their wealth in the long run. This dumb money effect is related to the value effect: high sentiment stocks tend to be growth stocks. High sentiment also is associated with high corporate issuance, interpretable as companies increasing the supply of shares in response to investor demand.     

What moves international stock and bond markets?

We study the relation between international mutual fund flows and the different return components of aggregate equity and bond markets. First, we decompose international equity and bond market returns into changes in expectations of future real cash payments, interest rates, exchange rates, and discount rates. News about future cash flows, rather than discount rates, is the main driver of international stock returns. This evidence is in contrast with the typical results reported only for the US. Inflation news instead is the main driver of international bond returns. Next, we turn to the interaction between these return components and international portfolio flows. We find evidence consistent with price pressure, short-term trend chasing, and short-run overreaction in the equity market. We also find that international bond flows to emerging markets are more sensitive to interest rate shocks than equity flows.     

Equity Capital Flows and Demand for REITs

REITs are attractive to investors due to their unique characteristics such as high dividend yields, low correlation with common stocks, and a potential hedge against inflation. Thus the market demand curve of REIT equities may not be horizontal. This paper examines the shape of the market demand curve for REIT equities by employing REIT equity capital flows as a proxy for REIT aggregate demand. Our results do not support a downward demand curve for REIT equities. That is, we do not find evidence for the price-pressure effect in REIT returns. Instead, we find it is REIT returns that affect REIT equity capital flows rather than REIT equity flows that affect REIT returns. The results are consistent when we allow for the presence of market fundamental variables in our analysis. In addition, a variance decomposition analysis suggests that REIT equity capital flows do not cause revisions in expected cash flows (dividends) that are strong enough to impact REIT returns. Thus our findings are consistent with implications that the market demand curve for REIT equities is horizontal.     

Accruals,cash flows,and aggregate stock returns

This paper examines whether the firm-level accrual and cash flow effects extend to the aggregate stock market. In sharp contrast to previous firm-level findings, aggregate accruals is a strong positive time series predictor of aggregate stock returns, and cash flows is a negative predictor. In addition, innovations in accruals are negatively contemporaneously correlated with aggregate returns, and innovations in cash flows are positively correlated with returns. These findings suggest that innovations in accruals and cash flows contain information about changes in discount rates, or that firms manage earnings in response to marketwide undervaluation.     

A consumption-based model of the term structure of interest rates

This paper proposes a consumption-based model that accounts for many features of the nominal term structure of interest rates. The driving force behind the model is a time-varying price of risk generated by external habit. Nominal bonds depend on past consumption growth through habit and on expected inflation. When calibrated to data on consumption, inflation, and the aggregate market, the model produces realistic means and volatilities of bond yields and accounts for the expectations puzzle. The model also captures the high equity premium and excess stock market volatility.     

Investor sentiment and stock returns: Some international evidence

We examine whether consumer confidence – as a proxy for individual investor sentiment – affects expected stock returns internationally in 18 industrialized countries. In line with recent evidence for the U.S., we find that sentiment negatively forecasts aggregate stock market returns on average across countries. When sentiment is high, future stock returns tend to be lower and vice versa. This relation also holds for returns of value stocks, growth stocks, small stocks, and for different forecasting horizons. Finally, we employ a cross-sectional perspective and provide evidence that the impact of sentiment on stock returns is higher for countries which have less market integrity and which are culturally more prone to herd-like behavior and overreaction.     

Investment Horizon and Repo in the Over‐the‐Counter Market

This paper presents a three‐period model featuring a short‐term investor in the over‐the‐counter bond market. A short‐term investor stores cash because of a need to pay cash at some future date. If a short‐term investor buys bonds, then a deadline for retrieving cash lowers the resale price of bonds for the investor through bilateral bargaining in the bond market. Ex‐ante, this hold‐up problem explains the use of a repo by a short‐term investor, the existence of a haircut, and the vulnerability of a repo market to counterparty risk. This result holds without any uncertainty about bond returns or asymmetric information.     

What Moves the Stock and Bond Markets? A Variance Decomposition for Long-Term Asset Returns

This paper uses a vector autoregressive model to decompose excess stock and 10-year bond returns into changes in expectations of future stock dividends, inflation, short-term real interest rates, and excess stock and bond returns. In monthly postwar U.S. data, stock and bond returns are driven largely by news about future excess stock returns and inflation, respectively. Real interest rates have little impact on returns, although they do affect the short-term nominal interest rate and the slope of the term structure. These findings help to explain the low correlation between excess stock and bond returns.     

Information,interest rates,and the volatility of asset prices

The volatility of an asset price is modelled as a function of the volatility of an information signal, real interest rates and inflation expectations. Volatility depends on the duration of cash flows, and the degree to which cash flows are indexed to real rates and inflation. The model is applied to determine asset betas, the volatility of the futures prices of assets and the volatility of equity prices.     

Optimal Asset Abandonment and Replacement: Tax and Inflation Considerations

The tax and inflation effects on the abandonment and replacement policies are examined for capital assets. The tax effect is shown to defer abandonment for some classes of assets while the asset duration is shortened for others depending on the characteristic of the marginal rates of return of extending asset life. Moreover, inflation may increase or decrease the asset duration depending on the rates of inflation growth of asset nominal cash flows and abandonment value and depending on the relative benefit of asset abandonment. In addition, the Fisher hypothesis of constant real returns relative to anticipated inflation is also examined in the case of asset abandonment and replacement. The results derived for a single cycle of replacement carry over to the replacement policy in an infinite cycle of replacement.     

The Extreme Future Stock Returns Following I/B/E/S Earnings Surprises

We investigate the stock returns subsequent to quarterly earnings surprises, where the benchmark for an earnings surprise is the consensus analyst forecast. By defining the surprise relative to an analyst forecast rather than a time‐series model of expected earnings, we document returns subsequent to earnings announcements that are much larger, persist for much longer, and are more heavily concentrated in the long portion of the hedge portfolio than shown in previous studies. We show that our results hold after controlling for risk and previously documented anomalies, and are positive for every quarter between 1988 and 2000. Finally, we explore the financial results and information environment of firms with extreme earnings surprises and find that they tend to be “neglected” stocks with relatively high book‐to‐market ratios, low analyst coverage, and high analyst forecast dispersion. In the three subsequent years, firms with extreme positive earnings surprises tend to have persistent earnings surprises in the same direction, strong growth in cash flows and earnings, and large increases in analyst coverage, relative to firms with extreme negative earnings surprises. We also show that the returns to the earnings surprise strategy are highest in the quartile of firms where transaction costs are highest and institutional investor interest is lowest, consistent with the idea that market inefficiencies are more prevalent when frictions make it difficult for large, sophisticated investors to exploit the inefficiencies.     

A production-based model for the term structure

This paper considers the term structure of interest rates implied by a production-based asset pricing model in which the fundamental drivers are investment in equipment and structures as well as inflation. The model matches the average yield curve up to five-year maturity almost perfectly. Longer term yields are roughly as volatile as in the data. The model also generates time-varying bond risk premiums. In particular, when running Fama-Bliss regressions of excess returns on forward premiums, the model produces slope coefficients of roughly half the size of the empirical counterparts. Closed-form expressions highlight the importance of the capital depreciation rates for interest rate dynamics.     

Predicting stock returns

This paper studies whether incorporating business cycle predictors benefits a real time optimizing investor who must allocate funds across 3,123 NYSE-AMEX stocks and cash. Realized returns are positive when adjusted by the Fama-French and momentum factors as well as by the size, book-to-market, and past return characteristics. The investor optimally holds small-cap, growth, and momentum stocks and loads less (more) heavily on momentum (small-cap) stocks during recessions. Returns on individual stocks are predictable out-of-sample due to alpha variation, whereas the equity premium predictability, the major focus of previous work, is questionable.