Adjustments For 'Extraordinary Items'In Smoothing Reported Profits of Listed Australian Companies: Some Empirical Evidence

Nothing is more likely to undermine the credibility of financial reporting than the suspicion that the results reported were predetermined and that the accounting methods used were selected to produce the results desired by the preparers of the report', Solomons (1983).     

Characteristics of the order flow through an electronic open limit order book

We estimate and examine certain characteristics of the order flow through an electronic open limit order book, using order (not trade) data. In doing this, we bring out new evidence on order flow from a market with microstructure different from that of the NYSE. We find that the proportion of informed orders is less than 10%, lower than previous estimates. Informed traders choose smaller orders than uninformed traders, but do not materially differ in their choice of limit or market orders. The proportion of informed investors is similar between good and bad news days. Finally, there are U-shaped intraday patterns in order arrival, and the information content of the order flow appears to follow this pattern across the day.     

FORMALIZATION AND THE ORGANIZATIONAL LIFE CYCLE[1]

The theoretical importance of formalization has often been obscured in empirical investigation. This article discusses two outcomes of formalization: administrative efficiency, and influence. As formalization contributes to administrative efficiency, it also bestows upon the administrator power and influence. While some theoretical attention has been paid to the efficiency theme, influence has been largely ignored. The article suggests that formalization as code, as channel, and as standard can be best understood in the context of the organizational life cycle. Formalization (as efficiency) is likely to contribute to effectiveness early in an organization's history. Later in the life cycle, however, formalization (as influence) may contribute to organizational ineffectiveness and decline.     

Evidence of European Trade and Investment U-Shaping Industrial Output in Bulgaria, Hungary, Poland, and Romania

Industrial output in Central and Eastern Europe evolved in a U-shape during the first seven years of transition. The literature explains the initial collapse of industrial output as an inefficient outcome driven by supply side distortions that constrained the transition process. We show that the U-shape experience of industrial sectors is an outcome driven by an intrasector change, induced by investment demand shocks, in the market orientation of production away from products traditionally sold into the CMEA market and towards products traditionally sold into the EU market. This revisionist view has important implications for policy formation. J. Comp. Econom., December 1999, 27(4), pp. 730–752. LICOS, Centre for Transition Economics, Katholieke Universiteit Leuven, Debériotstraat 34, 3000 Leuven, Belgium; and Department of Economics, Trinity College, Dublin, Dublin 2, Ireland, and LICOS, Centre for Transition, Katholieke Universiteit Leuven, Debériostraat 34, 3000 Leuven, Belgium.     

Large sample validity of the binomial distribution for lives with unequal mortality rates

Abstract

Let us consider a group of n lives which are observed during some time or age interval. Suppose that the following conditions are satisfied: 1. The probability of death within the interval considered has the same value q for each person of the group.

2. These lives represent statistically independent observations (with respect to mortality).

     

Actuarial validity of the binomial distribution for large numbers of lives with small mortality probabilities

Abstract

In a previous paper (see reference [1]), the binomial distribution was shown to be valid under rather general conditions for the case of a large number of statistically independent lives with possibly unequal mortality probabilities. This note extends these results to some situations where the lives are not necessarily statistically independent. An analysis is presented which indicates that these situations include most actuarial applications involving a large number of lives.     

Estimating population mean,variance, and percentage points from truncated data

Abstract

Consider a set of observations which are obtained by truncating a sample of known size. The truncation procedure consists of deleting a known number of the largest sample values and a known number of the smallest sample values. One problem considered is the use of this data to estimate certain of the population percentage points for which the corresponding sample data was deleted. Another problem is to estimate the population mean and standard deviation. This paper presents solutions to these problems which are valid for a rather general class of continuous statistical populations. The results obtained should be applicable to most practical cases of a continuous type. A sample analog of the percentage point estimation procedure has interesting uses for life testing situations. Namely, the first time at which a specified number of additional items of a sample will have failed can be predicted from the values of the items which have already failed.