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Stock Returns, Money, and Fiscal Deficits

Journal of Financial and Quantitative Analysis 1990 25(3), 387
Using the FPE/multivariate Granger-causality modeling technique, this paper tests whether changes in Canadian stock returns are caused by a number of economic variables, including base money and fiscal deficits. The empirical results from monthly data show that lagged changes in fiscal deficits, in particular, Granger-cause stock returns. If expected returns to equity are not time-varying, such a finding appears inconsistent with market efficiency.

Monetary Regimes and the Relation Between Stock Returns and Inflationary Expectations

Journal of Financial and Quantitative Analysis 1990 25(3), 307
This paper analyzes the impact of changes in monetary policy regimes on the relation between stock returns and changes in expected inflation. Post-war evidence from four countries reveals a direct link between these relations and the central banks' operating targets (i.e., money supply or interest rates). Specifically, the post-war negative relations between stock returns and changes in expected inflation are significantly stronger during interest rate regimes.

Shelf Registration and the Reduced Due Diligence Argument: Implications of the Underwriter Certification and the Implicit Insurance Hypotheses

Journal of Financial and Quantitative Analysis 1990 25(2), 245
Critics argue that shelf registration greatly reduces the ability of underwriters to perform adequate due diligence. This argument suggests underwriters will demand greater compensation for shelf issues compared to such traditional issues as an insurance premium for protection against potential litigation or loss of reputation caused by inadequate due diligence. Our findings suggest the presence of such a premium, that the premium is higher for firms with higher expected due diligence liabilities, and that underwriters perceive that shelf registration erodes due diligence and, subsequently, price the due diligence erosion accordingly. This pricing behavior is consistent with our findings that firms with higher expected due diligence liabilities are more likely to choose traditional registration.

Estimation of Stock Price Variances and Serial Covariances from Discrete Observations

Journal of Financial and Quantitative Analysis 1990 25(3), 291
Stock price discreteness adds noise to price series. The noise increases return variances and adds negative serial correlation to return series. Standard variance and serial covariance estimators therefore overestimate the variance and serial covariance of the underlying stock values. Discreteness-induced variance and serial covariance depend on underlying volatility and on the size of the bid/ask spread. Simple formulas for approximating the effects of discreteness on variance and serial correlation are derived and presented. The approximations, which are accurate in daily data, can be used to adjust the standard variance and serial covariance estimators.

An Empirical Analysis of Common Stock Delistings

Journal of Financial and Quantitative Analysis 1990 25(2), 261
This paper presents an empirical analysis of firms that are delisted from a major stock exchange. The delisting process is described and stock price movements surrounding delisting are analyzed. For firms with prior announcements, equity values decline by approximately 8.5 percent on announcement day. For firms without prior announcements, a similar adjustment takes place between the last day of trading in the initial market and the close of the first day of trading in the new market. Four hypotheses concerning the decline in firm value are examined. These are the liquidity hypothesis, the management signalling hypothesis, the exchange certification hypothesis, and the downward sloping demand curve hypothesis. Evidence consistent with the liquidity hypothesis is presented in the paper. Unlike evidence onstock exchange listings, returns in the post-delisting period do not appear to be anomalous. © 1990, School of Business Administration, University of Washington. All rights reserved.

Short Interest: Explanations and Tests

Journal of Financial and Quantitative Analysis 1990 25(2), 273
Cross-sectional and time series tests are performed to explain levels and changes in short interest. Explanatory variables and tests are chosen based on tax, arbitrage, and speculative reasons for going short. Short interest is found to follow a seasonal pattern that is weakly consistent with tax-based trading. Stocks with high betas and the existence of convertible securities or options tend to have higher levels of short interest, which is consistent with arbitrage efforts. For firms with traded options, there is a positive association between the month-to-month changes in option open interest and short interest. Prior months' returns and changes in short interest are positively related, but there is no relationship between changes in short interest and returns in the subsequent month.

Price Reversals, Bid-Ask Spreads, and Market Efficiency

Journal of Financial and Quantitative Analysis 1990 25(4), 535
We examine the behavior of common stock prices after a large change in price occurs during a single trading day and find evidence that the stock market appears to have overreacted, especially in the case of price declines; however, the magnitude of the overreaction is small compared to the bid-ask spreads observed for the individual stocks in the sample. We interpret this finding as being consistent with a market that is efficient after transactions costs are considered.

Valuing Derivative Securities Using the Explicit Finite Difference Method

Journal of Financial and Quantitative Analysis 1990 25(1), 87
This paper suggests a modification to the explicit finite difference method for valuing derivative securities. The modification ensures that, as smaller time intervals are considered, the calculated values of the derivative security converge to the solution of the underlying differential equation. It can be used to value any derivative security dependent on a single state variable and can be extended to deal with many derivative security pricing problems where there are several state variables. The paper illustrates the approach by using it to value bonds and bond options under two different interest rate processes.