International trade and finance: Complementaries in the United Kingdom 1870-1913 and the United States 1920-1930

Do international trade and finance flow together? In a variety of theoretical models, trade and finance can be shown to have the potential to be substitutes or complements, so the matter must be resolved empirically. We study trade and financial flows from the United Kingdom from 1870 to 1913 and the United States in the interwar years. These were the two major capital exporters and key financial centers in each era. We find that trade and finance were robustly correlated for each case. We consider simultaneity issues. We also discuss evidence from the British Empire which casts doubt on the idea that trade is a punishment device in the event of a default.     

How important are semi-annual earnings announcements? An information event perspective

Using a method that avoids the need to specify earnings expectations, we demonstrate that the period surrounding the semi-annual announcement of Australian firms' earnings is, on average, an important source of information. Although there is substantial year-to-year variation, we observe no evidence of any significant time trend, and also conclude that a shift from Australian domestic generally accepted accounting principle to International Financial Reporting Standards did not impact the association between earnings announcement windows and stock returns. We also find no evidence that the informativeness of earnings announcements varies systematically with firm size, analyst following or economic news (i.e., positive vs. negative stock returns, profits vs. losses), although we do observe significant variation across industries. Our conclusion is further supported by contrasting the earnings release date with the days immediately prior to release, or high information days other than earnings announcement windows. Using a more precise event window relative to prior studies (i.e., 3 h vs. 3 days), we confirm that earnings announcements contain significant new information about fundamentals.     

The evolution of the January effect

This paper extends recent studies of the January effect by investigating the evolution of the daily pattern of the effect across size deciles. Our evidence documents a sizable mean reverting component beginning in the latter part of January and a shorter duration of the seasonal effect. Despite lower abnormal returns in the second part of January, higher abnormal returns in the first part of January keep the magnitude of the January effect unchanged. Further analysis of daily trading volumes suggests a stable trading volume intensity in the first part of January and a substantial decline in trading volume intensity in the second part of January.     

A Simple Model of Insurance Market Dynamics

Abstract

This paper constructs and studies a simple but realistic model of an insurance market. The model has a minimalist construction in the sense that the number of parameters defining it is strictly limited and the elimination of any one of them would destroy its realism. There are 11 essential parameters. Each of the parameters has a physical interpretation. Some determine competitive effects within the market, some barriers to entry, and so on. The effect of each on various aspects of the market is examined in the presence of simulated loss experience. The aspects of the market considered include stability of premium rates, profitability, and market concentration. Some of the parameters are capable of use as regulatory controls. Two parameters, in addition to the original 11, are explicit price controls. Despite its simplicity, the model displays considerably complex behavior. Some results are intuitive, but some are not. For this reason, regulatory controls need to be applied with great caution lest they induce perverse effects, possibly even the reverse of those intended. The effect of the parameters on market behavior is first studied in the absence of catastrophic events from the loss experience. Subsequently, the effect of a single such event is studied.     

Have R&D Spillovers Declined in the 21st Century?

Slow growth over the last decade has prompted policy attention towards increasing R&D spending, often via the tax system. We examine the impact of R&D on firm performance, both by the firm's own investments and through positive (and negative) spillovers from other firms. We analyse panel data on US firms over the last three decades, and allow for time‐varying spillovers in both technology space (knowledge spillover) and product market space (product market rivalry). We show that the magnitude of R&D spillovers remains as large in the second decade of the 21^st century as it was in the mid 1980s. Since the ratio of the social return to the private return to R&D is about four to one, this implies that there remains a strong case for public support of R&D. Positive spillovers appeared to temporarily increase in the 1995–2004 digital technology boom. We also show how these micro estimates relate to estimates from the endogenous growth literature and give some suggestions for future work.     

(Unusual) weather and stock returns—I am not in the mood for mood: further evidence from international markets

This paper investigates the explanatory power of weather variables deviations in two leading international financial trading centres (New York and London) on 58 global stock indices over the period September 2000 to December 2013. The empirical results find that unusual deviations of weather variables from their monthly averages have a statistically significant effect on stock returns across global returns. The paper also attempts to explain these effects through the sales and energy prices mechanisms. The results provide strong support to both mechanisms.     

A diffusion approximation for the ruin function of a risk process with compounding assets

Abstract

The traditional theory of collective risk is concerned with fluctuations in the capital reserve {Y(t): t ?O} of an insurance company. The classical model represents {Y(t)} as a positive constant x (initial capital) plus a deterministic linear function (cumulative income) minus a compound Poisson process (cumulative claims). The central problem is to determine the ruin probability ψ(x) that capital ever falls to zero. It is known that, under reasonable assumptions, one can approximate {Y(t)} by an appropriate Wiener process and hence ψ(.) by the corresponding exponential function of (Brownian) first passage probabilities. This paper considers the classical model modified by the assumption that interest is earned continuously on current capital at rate β > O. It is argued that Y(t) can in this case be approximated by a diffusion process Y*(t) which is closely related to the classical Ornstein-Uhlenbeck process. The diffusion {Y*(t)}, which we call compounding Brownian motion, reduces to the ordinary Wiener process when β = O. The first passage probabilities for Y*(t) are found to form a truncated normal distribution, which approximates the ruin function ψ(.) for the model with compounding assets. The approximate expression for ψ(.) is compared against the exact expression for a special case in which the latter is known. Assuming parameter values for which one would anticipate a good approximation, the two expressions are found to agree extremely well over a wide range of initial asset levels.     

Ranking accounting authors and departments in accounting education: different methodologies – significantly different results

This research tests whether Holderness Jr., D. K., Myers, N., Summers, S. L., & Wood, D. A. [(2014). Accounting education research: Ranking institutions and individual scholars. Issues in Accounting Education, 29(1), 87–115] accounting-education rankings are sensitive to a change in the set of journals used. It provides updated rankings for accounting-education authors from Australia, Canada, New Zealand, the Republic of Ireland, the United Kingdom, and the United States using a sample that included the publications in 13 accounting-education journals. Our analysis indicated that Holderness et al.’s rankings of authors and departments were significantly different from our rankings. This research provides rankings of the top 50 authors and departments for three periods: from 2010 to 2015, from 2004 to 2015, and from 1992 to 2015. We provide data indicating the distribution of authors for these periods to assist authors not listed in the most prolific lists in determining their relative ranking. Finally, we provide data on the distribution of journal choices for accounting-education publications for the authors from each country.