We develop a stylized model that generates the following empirical predictions: the less (more) accessible the underlying market is ex ante, the more its liquidity improves (deteriorates) when basket trading becomes available. We empirically test these predictions using corporate bonds before and after the introduction of exchange-traded funds. Consistent with the model’s prediction, liquidity improvement is larger for highly arbitraged, low-volume, and high-yield bonds, and for 144A bonds to which retail investor access is prohibited by law. Our article leads to a more nuanced understanding of the impact of basket security introduction than previous research suggested.

We propose a direct test of the explanation by Modigliani and Cohn (MC) for the positive correlation between inflation and equity values—that it results from investors’ money illusion. This explanation, unlike its main rivals, suggests that because in inflationary periods dividends will, on average, be higher than expected, dividend announcements will trigger positive abnormal returns. These will be higher the higher the inflation, and the more levered the firm. The behavior of abnormal returns of US stocks on dividend-announcement days from 1955 to 2007 supports these predictions. We investigate alternative explanations of our results. None dominates MC’s.

We examine empirically the response of bond returns and their volatility to good and bad macroeconomic news during expansions and recessions. We find that macroeconomic announcements are most important when they contain bad news for bond returns in expansions and, to a lesser extent, good news in contractions. In expansions, the bond market responds most strongly to bad news in non-farm payrolls, while in recessions good news about inflation is relatively more important. We also document that macroeconomic news impacts the volatility of bond returns at all maturities by increasing jump intensities and altering the jump size distribution.

We establish an empirical link between the ex-ante uncertainty about macroeconomic fundamentals and the ex-post resolution of this uncertainty in financial markets. We measure macroeconomic uncertainty using prices of economic derivatives and relate this measure to changes in implied volatilities of stock and bond options when the economic data is released. Higher macroeconomic uncertainty is associated with greater reduction in implied volatilities following the news release. It is also associated with increased volume and decreased open interest in option markets after the release, consistent with market participants using financial options to hedge or speculate on macroeconomic news.

W. W. Higgins, B. J. Moore, Market Structure Versus Information Costs as Determinants of Underwriters' Spreads on Municipal Bonds, The Journal of Financial and Quantitative Analysis, Vol. 15, No. 1 (Mar., 1980), pp. 85-97

Dennis W. Draper, James W. Hoag, Financial Intermediation and the Theory of Agency, The Journal of Financial and Quantitative Analysis, Vol. 13, No. 4, Proceedings of Thirteenth Annual Conference of the Western Finance Association, June 20-26, 1978 (Nov., 1978), pp. 595-611

The objective of this paper is to carry out tests of the general hypothesis, most recently urged by Scherer [14, pp. 100–102] and Weston and Brigham [17, p. 689], that the cost-of-equity capital of small industrial corporations is greater than that of large industrial corporations. The paper denotes this cost as ke and defines it as the expected rate of return on the stock of a company when the current price of the stock is in equilibrium. A common designation of ke of course is the equity capitalization rate. It will be noted that this definition of the cost-of-equity capital abstracts from the flotation costs that are usually incurred when companies sell new stock. Archer and Faerber [2] have already shown that these costs are inversely related to the size of companies.

We shall investigate the problem of optimal exercising strategy for option holders for the case in which option holders are averse to risk. A model of stock price changes incorporating the Lognormal random walk assumption will be combined with a class of utility functions containing diminishing marginal utility of money. In general, the strategy of waiting until the last possible day to exercise an option, which maximizes expected value, will not maximize expected utility. The strategy which maximizes expected utility is obtained by a dynamic programming formulation of the decision problem. At each day (or decision stage), the option holder may choose to act (exercise) or wait until the next day. Working backwards from the last day, a series of critical prices are obtained, with the optimal strategy being as follows: act if the stock price on any day is greater than the critical price for that day; otherwise, wait. Using the concept of proportional risk aversion developed by Pratt, we will demonstrate that, under certain conditions, a utility function which exhibits increasing proportional risk aversion is sufficient to create a series of finite critical prices. Moreover, once an option is exercised, the option holder continually faces a tactical decision to hold the stock and wait for capital gains or sell and take profits as ordinary income, thereby avoiding further risk. This decision may also be optimized by a dynamic programming scheme similar to the approach used above.