This paper develops a generalized regime-switching (GRS) model of the short-term interest rate. The model allows the short rate to exhibit both mean reversion and conditional heteroskedasticity and nests the popular generalized autoregressive conditional heteroskedasticity (GARCH) and square root process specifications. The conditional variance process accommodates volatility clustering and dependence on the level of the interest rate. A first-order Markov process with state-dependent transition probabilities governs the switching between regimes. The GRS model is compared with various existing models of the short rate in terms of (1) the statistical fit of short-term interest rate data and (2) out-of-sample forecasting performance.

This article examines the efficiency of the National Football League betting market. The standard ordinary least squares regression methodology is replaced by a probit model. This circumvents potential econometric problems, and allows the authors to implement more sophisticated betting strategies where bets are placed only when there is a relatively high probability of success. In-sample tests indicate that probit-based betting strategies generate statistically significant profits. Whereas the profitability of a number of these betting strategies is confirmed by out-of-sample testing, there is some inconsistency among the remaining out-of-sample predictions. The authors' results also suggest that widely documented inefficiencies in this market tend to dissipate over time.

A dividend imputation tax system provides shareholders with a credit (for corporate tax paid) that can be used to offset personal tax on dividend income. This paper shows how to infer the value of imputation tax credits from the prices of derivative securities that are unique to Australian retail markets. We also test whether a tax law amendment that was designed to prevent the trading of imputation credits affected their economic value. Before the amendment, tax credits were worth up to 50% of face value in large, high-yielding companies, but subsequently it is difficult to detect any value at all.

ABSTRACT This article examines the efficiency of the National Football League (NFL) betting market. The standard ordinary least squares (OLS) regression methodology is replaced by a probit model. This circumvents potential econometric problems, and allows us to implement more sophisticated betting strategies where bets are placed only when there is a relatively high probability of success. In‐sample tests indicate that probit‐based betting strategies generate statistically significant profits. Whereas the profitability of a number of these betting strategies is confirmed by out‐of‐sample testing, there is some inconsistency among the remaining out‐of‐sample predictions. Our results also suggest that widely documented inefficiencies in this market tend to dissipate over time.

We use a general Markov switching model to examine the relationships between returns over three different asset classes: financial assets (US stocks and Treasury bonds), commodities (oil and gold) and real estate assets (US Case–Shiller index). We confirm the existence of two distinct regimes: a “tranquil” regime with periods of economic expansion and a “crisis” regime with periods of economic decline. The tranquil regime is characterized by lower volatility and significantly positive stock returns. During these periods, there is also evidence of a flight from quality – from gold to stocks. By contrast, the crisis regime is characterized by higher volatility and sharply negative stock returns, along with evidence of contagion between stocks, oil and real estate. Furthermore, during these periods, there is strong evidence of a flight to quality – from stocks to Treasury bonds.

The first 100 days of a newly-elected President's administration are often a period of substantial and concentrated policy change. This paper shows that measures of uncertainty and risk aversion rise sharply during Presidential honeymoons. Consistent with theoretical models that suggest that investors demand compensation for bearing heightened political risk, we document striking spread returns to value, investment and profitability anomalies during honeymoons. For example, the book-to-market value premium averages 3.51% per month during Presidential honeymoons, yet only 0.27% per month at other times. These findings survive numerous robustness checks. Nonetheless, establishing a direct link between escalating political risk and equity returns proves challenging.