EXPECTATIONS,INTEREST RATES,AND COMMERCIAL BANK STOCKS

This study examines the effect of current and expected interest rate changes on bank equity values and attempts to reconcile the conflicting findings of previous research regarding this issue. A multiple index market model of bank security returns is specified and estimated. The results confirm the existence of an interest rate effect on bank stocks that is not explained by returns on the market portfolio. In addition, bank stock returns appear to be sensitive to an interest rate forecast error.     

Asset pricing,time-varying risk premia and interest rate risk

This paper investigates the role of interest rate risk in explaining security price changes. We develop and test a two-factor linear beta pricing model of security returns in which the factors are the excess returns on the long-term, riskless bond and the equal-weighted equity market index. We find that time-variation in the interest rate and market risk premia influence expected security returns. Furthermore, conditional interest rate volatility affects security returns, particularly during periods of substantial interest rate movements.     

Expected Inflation, Interest Rates, and Stock Returns

This paper documents a long-lived asymmetrical relationship between interest rate changes and subsequent stock returns. Drops in interest rates are followed by twelve months of excess stock returns, while increases in interest rates have little effect. The results are robust to the choices of short-term interest rate and stock index. These findings cannot be explained by Geske and Roll's [10] reversed causality argument; nor do they appear to result from periods of unusual interest rates or stock returns. Since interest rate changes are generally used as proxies for changes in expected inflation, the results provide new insights into previous research on inflation and stock returns, and there are important implications for the literature on time-varying risk premia.     

Interest Rate Sensitivity, Asymmetry, and the Stock Returns of Financial Institutions

This paper attempts to reconcile the conflicting results reported in prior interest rate sensitivity studies that utilized the stock returns of financial institutions. By analyzing the interest rate elasticities during different interest rate cycles and adjusting for different monetary policy regimes, this paper suggests that sample period effects rather than methodological differences account for the conflicts presented in previous studies. More specifically, the empirical results indicate some asymmetrical interest rate sensitivities during various interest rate cycles. For example, the stock returns of savings and loan institutions were found to be more sensitive to falling interest rates. On the other hand, the stock returns of banks appeared to be more responsive to rising interest rates. Consequently, any attempt to employ models utilizing aggregated data either for policy making or to construct portfolio strategies will result in time aggregation bias and misguided decision making.     

Daily short interest,idiosyncratic risk,and stock returns

This paper examines the relation between short selling and returns and the impact of arbitrage costs on short sellers’ behavior. Using daily UK short selling data, we find that stocks with low short interest levels experience significant positive returns on both an equal- and value-weighted basis. Economic theory predicts that short sellers avoid establishing positions in stocks with high idiosyncratic risk. Our results indicate a negative relation between short interest and returns among high idiosyncratic risk stocks and that short selling activity is mostly concentrated in low idiosyncratic risk stocks where it is less costly to arbitrage fundamental risk.     

Short Interest,Returns, and Unfavorable Fundamental Information

Several months before information becomes public, the level of short interest contains value‐relevant information about publicly traded corporations. Short interest predicts future bad news, negative earnings surprises, and downward revisions in analyst earnings forecasts. This informational content is stronger for stocks that are harder to short. We also find that nearly half of the well‐known cross‐sectional relation between short interest and future stock returns is related to future changes in firms’ value‐relevant information. Our results suggest that short interest predicts future returns, in part, due to short sellers’ ability to uncover unfavorable information about firms.     

Stock returns,inflation and interest rates in the United Kingdom

The Fisherian theory of interest asserts that a fully perceived change in inflation would be reflected in nominal interest rates and stock returns in the same direction in the long run. This paper examines the Fisherian hypothesis of asset returns using alternative techniques of linear regression, and vector error correction models to examine the nature of the relationship between stock returns and inflation in the UK. Consistent with the Fisherian hypothesis, empirical evidence in the linear regression model suggests a positive and statistically significant relationship between stock returns and inflation, which regards common stock as a good hedge against inflation. The results based on the unit root and cointegration tests indicate a long-run reliable relationship between price levels, share prices, and interest rates which could be interpreted as the long-run determinants of stock returns. The findings also suggest a bidirectional relationship between stock returns and inflation. The evidence of a significant Fisher effect is robust across model specifications.     

Asset Returns and Inflation in Response to Supply,Monetary, and Fiscal Disturbances

This paper identifies sources of asset returns (stock returns and interest rates) and inflation relations. We find that the relation between asset returns and inflation is driven by three types of disturbances to the economy. We interpret them as due to supply disturbances and two types of demand—monetary and fiscal—disturbances. In post-war U.S. data, supply and fiscal disturbances drive a negative stock return-inflation relation, whereas monetary disturbances generate a positive stock return-inflation relation. However, all three types of disturbances generate a negative interest rate-inflation relation. Depending on the interaction of the three types of shocks, we observe different correlations between asset returns and inflation in post- and pre-World War II U.S. data.     

Causal Relations Among Stock Returns,Interest Rates,Real Activity,and Inflation

Using a multivariate vector-autoregression (VAR) approach, this paper investigates causal relations and dynamic interactions among asset returns, real activity, and inflation in the postwar United States. Major findings are (1) stock returns appear Granger-causally prior and help explain real activity, (2) with interest rates in the VAR, stock returns explain little variation in inflation, although interest rates explain a substantial fraction of the variation in inflation, and (3) inflation explains little variation in real activity. These findings seem more compatible with Fama (1981) than with Geske and Roll (1983) or with Ram and Spencer (1983) .     

Country Size,Currency Unions,and International Asset Returns

Differences in real interest rates across developed economies are puzzlingly large and persistent. I propose a simple explanation: bonds issued in the currencies of larger economies are expensive because they insure against shocks that affect a larger fraction of the world economy. I show that, indeed, differences in the size of economies explain a large fraction of the cross‐sectional variation in currency returns. The data also support additional implications of the model: the introduction of a currency union lowers interest rates in participating countries, and stocks in the nontraded sector of larger economies pay lower expected returns.     

INFLATION,SECURITY VALUES,AND RISK PREMIA

The impact of stochastic inflation on the cross-sectional structure of nominal securities yields is examined. The analysis indicates that equilibrium required returns on debt and equity securities are affected differently by inflation and that the “Fisher Effect” is more likely to hold for equity returns than for debt yields. Implications for empirical investigations of portfolio performance and the real interest rate are explored.     

Unanticipated interest rates,bank stock returns and the nominal contracting hypothesis

The relationship between unexpected interest rate movements and bank stock returns is analyzed in the context of the nominal contracting hypothesis. Unanticipated changes in interest rates should influence individual bank profits and stock returns depending on the maturity characteristics of their assets relative to their liabilities. This hypothesis is investigated by constructing portfolios on the basis of the nominal contracting positions of banks. The main conclusion of this paper is that the wealth redistribution implications of the nominal contracting hypothesis is found to be unimportant in the determination of bank stock returns.     

BOND RETURNS,DISCRETE STOCHASTIC PROCESSES,AND DURATION

A particular duration measure may correspond to many different stochastic processes that generate fluctuations in the term structure of interest rates. There does not exist a one-to-one correspondence between the duration measure and an underlying stochastic process. In particular, durations derived from disequilibrium processes also correspond to equilibrium processes. Furthermore, it is shown that multi-factor discrete models of bond returns may also correspond to multi-duration models of bond returns.     

Firm Size,Book-to-Market Ratio,and Security Returns: A Holdout Sample of Financial Firms

Fama and French (1992) document a significant relation between firm size, book-to-market ratios, and security returns for nonfinancial firms. Because of their initial interest in leverage as an explanatory variable for security returns, Fama and French exclude from their analysis financial firms, thus creating a natural holdout sample on which to test the robustness of their results. We document that the relation between firm size, book-to-market ratios, and security returns is similar for financial and nonfinancial firms. In addition, we present evidence that survivorship bias does not significantly affect the estimated size or book-to-market premiums in returns. Our results indicate data-snooping and selection biases do not explain the size and book-to-market patterns in returns.     

Cross-asset return predictability: Carry trades,stocks and commodities

Equity returns predict carry trade profits from shorting low interest rate currencies. Commodity price changes predict profits from longing high interest rate currencies. The gradual information diffusion hypothesis (Hong & Stein, 1999) provides a ready explanation for these predictability results. These results cannot be explained by time-varying risk premia as stock returns and commodity price changes significantly predict negative carry trade profits. The predictability is one-directional, from commodities to high interest rate currencies, from commodities to stocks and from stocks to low interest rate currencies.     

Order imbalance,market returns and macroeconomic news: Evidence from the Australian interest rate futures market

The relationship between order imbalance, market returns and macroeconomic news is examined in the context of the Australian interest rate futures market. Contemporaneous order imbalance exerts a significant impact on market returns in the expected direction i.e. excess buy (sell) orders drive up (down) prices. Order imbalances are related to past market returns with market participants acting in a contrarian manner across all products following market rallies. Nine major macroeconomic announcements are identified with order imbalance, and returns, reacting to such announcements in a manner that correctly reflects the news component. Following a scheduled macroeconomic announcement there is an increase in the level of information asymmetry within the interest rate futures market, demonstrated by an increased sensitivity to order flow. Finally, the pattern of order imbalance immediately prior to scheduled announcements suggests that there is no information leakage.     

Carry Trades and Global Foreign Exchange Volatility

We investigate the relation between global foreign exchange (FX) volatility risk and the cross section of excess returns arising from popular strategies that borrow in low interest rate currencies and invest in high interest rate currencies, so‐called “carry trades.” We find that high interest rate currencies are negatively related to innovations in global FX volatility, and thus deliver low returns in times of unexpected high volatility, when low interest rate currencies provide a hedge by yielding positive returns. Furthermore, we show that volatility risk dominates liquidity risk and our volatility risk proxy also performs well for pricing returns of other portfolios.     

Currency Returns, Intrinsic Value, and Institutional-Investor Flows

We decompose currency returns into (permanent) intrinsic‐value shocks and (transitory) expected‐return shocks. We explore interactions between these shocks, currency returns, and institutional‐investor currency flows. Intrinsic‐value shocks are: dwarfed by expected‐return shocks (yet currency returns overreact to them); unrelated to flows (although expected‐return shocks correlate with flows); and related positively to forecasted cumulated‐interest differentials. These results suggest flows are related to short‐term currency returns, while fundamentals better explain long‐term returns and values. They also rationalize the long‐observed poor performance of exchange‐rate models: by ignoring the distinction between permanent and transitory exchange‐rate changes, prior tests obscure the connection between currencies and fundamentals.     

Market Risk,Interest Rate Risk,and Interdependencies in Insurer Stock Returns: A System‐GARCH Model

We examine market risk, interest rate risk, and interdependencies in returns and return volatilities across three insurer segments within a System‐GARCH framework. Three main results are obtained: market risk is greatest for accident and health (A&H) insurers, followed by life (Life) and property and casualty (P&C) insurers; interest rate sensitivity is negative and greatest for Life insurers; and interdependencies in returns are significant with the magnitude being strongest between P&C and A&H insurers. The implication is that greatest diversification benefits arise between Life and the other segments of the insurance industry. Market risk and interest rate risk for diversified firms are smaller than those for nondiversified firms for both product and geographic diversification.     

Forecasting Japanese Stock Returns with Financial Ratios and Other Variables

This paper extends the previous analyses of the forecastability of Japanese stock market returns in two directions. First, we carefully construct smoothed market price–earnings ratios and examine their predictive ability. We find that the empirical performance of the price–earnings ratio in forecasting stock returns in Japan is generally weaker than both the price–earnings ratio in comparable US studies and the price dividend ratio. Second, we also examine the performance of several other forecasting variables, including lagged stock returns and interest rates. We find that both variables are useful in predicting aggregate stock returns when using Japanese data. However, while we find that the interest rate variable is useful in early subsamples in this regard, it loses its predictive ability in more recent subsamples. This is because of the extremely limited variability in interest rates associated with operation of the Bank of Japan’s zero interest policy since the late 1990s. In contrast, the importance of lagged returns increases in subsamples starting from the 2000s. Overall, a combination of logged price dividend ratios, lagged stock returns, and interest rates yield the most stable performance when forecasting Japanese stock market returns.