We develop a method to solve and simulate cash-in-advance models of money and asset prices. We calibrate the models to U.S. data spanning the period 1890-1987 and study some empirical regularities observed over this period. The phenomena of interest include the average level of stock returns and returns on nominal bonds, the covariation of realized real interest rates and real asset returns with inflation, and the ability of nominal interest rates to predict inflation and nominal stock returns.

We develop a method to solve and simulate cash-in-advance models of money and asset prices. We calibrate the models to U.S. data spanning the period 1890-1987 and study some empirical regularities observed over this period. The phenomena of interest include the average level of stock returns and returns on nominal bonds, the covariation of realized real interest rates and real asset returns with inflation, and the ability of nominal interest rates to predict inflation and nominal stock returns.

This paper provides empirical evidence on the effects of financial repression on government finances. Financial repression is a combination of controls on international capital flows with restrictions on domestic interest rates. The result is an artificially low cost of domestic funding to governments. We estimate the government revenue from financial repression as the difference between the foreign and the domestic cost of funds, times the domestic stock of government debt. The evidence indicates that the revenue from financial repression can be quite substantial, and for several countries it is of the same order of magnitude as seigniorage.

This paper attempts to determine whether the fluctuations of conditional first and second moments—which are observed for many assets—are consistent with the Sharpe-Lintner-Mossin capital asset pricing model. We test the mean-variance model under several different assumptions about the time variation of conditional second moments of returns, using weekly data from July 1974 to December 1986, that include returns on a portfolio composed of dollar, Deutsche mark, sterling, and Swiss franc assets, together with the U.S. stock market. The results indicate that estimated conditional variances cannot explain the observed time variation of risk premia.

This paper attempts to determine whether the fluctuations of conditional first and second moments—which are observed for many assets—are consistent with the Sharpe‐Lintner‐Mossin capital asset pricing model. We test the mean‐variance model under several different assumptions about the time variation of conditional second moments of returns, using weekly data from July 1974 to December 1986, that include returns on a portfolio composed of dollar, Deutsche mark, sterling, and Swiss franc assets, together with the U.S. stock market. The results indicate that estimated conditional variances cannot explain the observed time variation of risk premia.