To make high-quality research more accessible and easier to explore.

Fields:
80 results ✕ Clear filters

Counterexamples to Proposed Dollar-Unit Sampling Algorithm

Journal of Accounting Research 1985 23(1), 402
In a recent article, Menzefricke [1983] adapted the fixed constrained optimization approach (Boockholdt and Finley [1980]) to dollar-unit sampling. In Menzefricke's model, the auditor's objective is to determine the n, k pair (sample size and acceptance number) that minimizes total expected costs subject to a type II risk constraint. He provided an algorithm for determining the optimal n, k pair with two possible stopping rules, one which he proved would be optimal and one which he conjectured would also lead to an optimal solution. In this note I provide some counterexamples that demonstrate that his conjecture about the second stopping rule was incorrect.

Portfolio Serial Correlation and Nonsynchronous Trading

Journal of Financial and Quantitative Analysis 1985 20(4), 517
Common stock portfolios of large, heavily traded firms exhibit daily first-order serial correlation in excess of what would be expected, given the individual security coefficients. Further, this correlation rises as the number of securities in the portfolio increases. The direct implication of this finding is that nonsynchronous trading is not the only cause of correlation in daily market indices. Related implications are also discussed.

Simple Optimal Policy for Cash Management: The Average Balance Requirement Case

Journal of Financial and Quantitative Analysis 1985 20(3), 353
This paper treats a problem of stochastic cash management under an average compensating-balance requirement. It develops a dynamic programming formulation of the problem in which the relevant state is a unidimensional quantity equivalent to the forecasted average balance at the end of the averaging period. Under usably broad conditions, it establishes the optimality of a transient policy of simple type, similar to the two-sided inventory type policy familiar from certain earlier studies of stationary cash balance problems having absolute balance requirements. The results apply to cases in which the transactions costs contain both fixed and proportional components. The paper discusses also a numerical example drawn from the literature of the cash balance problem and shows by simulation of the optimal (and simply modified forms of the optimal) policy, that good protection is afforded against negative balances, even though the model does not explicitly constrain the negative-balance probabilities.

A Note on Decomposable Inequality Measures

Review of Economic Studies 1985 52(2), 347
Cowell has shown that if an inequality measure satisfies (1) additivity, (2) decomposability (among population groups), (3) additivitiy of the group inequality measures, (4) symmetry within groups, and (5) twice differentiability, it can be written as an additive function of group measures belonging to the CES class or of the form ∑i, si, ln si, where si is the i-th person's share. Using a result from the theory of functional equations, I prove that the first two conditions, often imposed for analytical convenience, alone imply Cowell's structure. Symmetry, or other ethical postulates, can then be represented by simple parametric restrictions.

Bid, ask and transaction prices in a specialist market with heterogeneously informed traders

Journal of Financial Economics 1985 14(1), 71-100
The presence of traders with superior information leads to a positive bid-ask spread even when the specialist is risk-neutral and makes zero expected profits. The resulting transaction prices convey information, and the expectation of the average spread squared times volume is bounded by a number that is independent of insider activity. The serial correlation of transaction price differences is a function of the proportion of the spread due to adverse selection. A bid-ask spread implies a divergence between observed returns and realizable returns. Observed returns are approximately realizable returns plus what the uninformed anticipate losing to the insiders.

A Note on Price Stability and Consumer's Welfare

Econometrica 1985 53(1), 213
THE EFFECTS OF COMMODITY PRICE STABILIZATION on an individual consumer's welfare has been controversial ever since the issue was first analyzed by Waugh [15]. The early approach of Waugh, which was based explicitly on expected consumer's surplus and ignored the production side of the economy, has since been generalized in several respects. For instance, Turnovsky, Shalit, and Schmitz (hereafter T-S-S) [14] have suggested an approach that utilizes the indirect utility function of a single individual. By focusing on a single consumer and comparing risk-no risk situations where prices are random variables, they derive interesting and useful results that express conditions for the desirability of price stabilization in terms of the familiar Arrow-Pratt measure of relative risk aversion, price and income elasticities, and budget shares. Although the approach of T-S-S provides useful information about an individual's preference for or against price stability, it does not provide information about a group of heterogeneous consumers' preference for price stability. The approach of T-S-S also assumes that perfect price stabilization is possible; indeed, in many cases government policy may serve to partially stabilize prices, but not perfectly stabilize prices.2 Thus the analysis of T-S-S does not address comparisons of risk-risk situations (the comparisons of unstable versus partially stabilized prices) nor comparisons when there are heterogeneous individuals. Recently, Newbery and Stiglitz [9, 10] have used stochastic dominance rules to analyze mean preserving partial price stabilization schemes. The purpose of the present note is to extend the T-S-S and Newbery-Stiglitz analysis by providing comparisons of partial price stabilization policies that affect multiple prices in non-mean preserving ways. Since an excellent survey of the stabilization literature appears in Newbery and Stiglitz [10], we proceed with the results of our analysis.