America's “exceptional” transition to capitalism: A counter view

This paper is a response to part two of Rob Bryer's (RB) analysis of the development of capitalism in the US, focusing on the second half of the 19th century when the nation was transformed into the world's largest industrial power. We argue that RB's view that America became a capitalist economy only post-1900 is counterintuitive given the scale of output, the rate of acceleration, and the accumulation and concentration of capital prior to that date.     

Balance between auditing and marketing: An explorative study

This study explores how auditors’ attitudes toward marketing and their views on the importance of marketing affect how they balance their time spent on auditing and marketing activities. The purpose is to understand how changes in the business environment for auditors affect the relationship between the auditing profession and marketing. The study is based on a survey of 672 auditors in Sweden. Findings suggest that auditors with a positive attitude toward marketing spend significantly more time on marketing activities compared to those with a less positive attitude. Furthermore, auditors who view marketing activities as important spend significantly more time on marketing activities. The study controlled for the number of years as an auditor, age of the auditor, and firm affiliation. The results indicate that the theoretical distance between the auditing profession and marketing does not exist in practice to the same degree as in the past. These findings have implications for international auditing theory and practice in illuminating the relationship of marketing and auditing in a wider business context.     

Time varying stock return predictability: Evidence from US sectors

This paper argues that dividend yield stock return predictability is time-varying. We conjecture that such time-variation is linked to the business cycle. Employing monthly data for US sector portfolios we estimate 5-year rolling fixed window predictive regressions. The resulting series of time-varying predictive coefficients is regressed on industrial production growth and a recession dummy. Our results support the view of a negative relationship between predictability and output growth. That is the strength of the predictive relationship between returns and the dividend yield is stronger during contractionary periods, while during expansions the magnitude of the relationship declines.     

The representation of American options prices under stochastic volatility and jump-diffusion dynamics

This paper considers the problem of pricing American options when the dynamics of the underlying are driven by both stochastic volatility following a square-root process as used by Heston [Rev. Financial Stud., 1993, 6, 327–343], and by a Poisson jump process as introduced by Merton [J. Financial Econ., 1976, 3, 125–144]. Probability arguments are invoked to find a representation of the solution in terms of expectations over the joint distribution of the underlying process. A combination of Fourier transform in the log stock price and Laplace transform in the volatility is then applied to find the transition probability density function of the underlying process. It turns out that the price is given by an integral dependent upon the early exercise surface, for which a corresponding integral equation is obtained. The solution generalizes in an intuitive way the structure of the solution to the corresponding European option pricing problem obtained by Scott [Math. Finance, 1997, 7(4), 413–426], but here in the case of a call option and constant interest rates.     

A faster estimation method for the probability of informed trading using hierarchical agglomerative clustering

The probability of informed trading (PIN) is a commonly used market microstructure measure for detecting the level of information asymmetry. Estimating PIN can be problematic due to corner solutions, local maxima and floating point exceptions (FPE). Yan and Zhang [J. Bank. Finance, 2012, 36, 454–467] show that whilst factorization can solve FPE, boundary solutions appear frequently in maximum likelihood estimation for PIN. A grid search initial value algorithm is suggested to overcome this problem. We present a faster method for reducing the likelihood of boundary solutions and local maxima based on hierarchical agglomerative clustering (HAC). We show that HAC can be used to determine an accurate and fast starting value approximation for PIN. This assists the maximum likelihood estimation process in both speed and accuracy.     

Backtesting Stochastic Mortality Models

Abstract

This study sets out a backtesting framework applicable to the multiperiod-ahead forecasts from stochastic mortality models and uses it to evaluate the forecasting performance of six different stochastic mortality models applied to English & Welsh male mortality data. The models considered are the following: Lee-Carter’s 1992 one-factor model; a version of Renshaw-Haberman’s 2006 extension of the Lee-Carter model to allow for a cohort effect; the age-period-cohort model, which is a simplified version of Renshaw-Haberman; Cairns, Blake, and Dowd’s 2006 two-factor model; and two generalized versions of the last named with an added cohort effect. For the data set used herein, the results from applying this methodology suggest that the models perform adequately by most backtests and that prediction intervals that incorporate parameter uncertainty are wider than those that do not. We also find little difference between the performances of five of the models, but the remaining model shows considerable forecast instability.     

The Impact of No-Fault Legislation on Automobile Insurance

Abstract

Since its inception, the effectiveness of no-fault legislation has been highly debated. Although some research suggests that no-fault laws are effective in reducing costs, other evidence suggests that the current no-fault systems may not meet the original objectives. This study provides a detailed assessment of the relation of no-fault laws and automobile insurance losses for the period 1994 to 2007. By examining total automobile insurance losses along with liability and personal injury protection losses, we are able to determine if and how specific provisions of the laws are related to claims costs. We find a negative relation between the presence of a no-fault law and total losses, which suggests that no-fault systems are associated with lower losses than the traditional tort system. In addition, an examination of no-fault-only states suggests that specific provisions of no-fault laws, such as thresholds and limitations on benefits, have some effect on losses. With the sunset of Colorado’s no-fault legislation in 2003, the recent passage of Personal Injury Protection Reform in Florida, and proposed federal choice legislation, the overall impact of no-fault as well as the specific components of the laws are of heightened importance to consumers, insurers, and lawmakers.     

Stock returns and economic activity: the UK case

This paper investigates the relationships between real stock returns and a number of financial and economic variables for the UK economy for the period 1980 to 1994. We begin by discussing a theoretical model proposed by Balvers et al. and then re-estimate for the UK what may be regarded as an application of that model by Fama applied to the US market. This reproduces Fama's main results. For the UK we than suggest a slightly, different application of the Balvers model, the most important feature of which is the use of expectational macro-economic variables instead of Fama's use of leading values of industrial production. We then go on to investigate the unit root properties of the data and show that much of the data is indeed characterized by the presence of unit root non stationarity In the light of this, we propose an application of the Phillips-Loretan error-correction model and show that this provides a plausible relationship between real stock returns and most of the financial and economic variables.     

Insider trading,growth opportunities and the market reaction to new financing announcements*

Abstract

This paper explores the profitability of momentum strategies, by investigating if a momentum strategy is superior to a benchmark model once the effects of data-snooping have been accounted for. Two data sets are considered. The first set of data consists of US stocks and the second one consists of Swedish stocks. For the US data strong evidence is found of a momentum effect and hence the hypothesis of weak market efficiency is rejected. Splitting the sample in two parts, it is found that the overall significance is driven by events in the earlier part of the sample. The results for the Swedish data indicate that momentum strategies based on individual stocks generate significant profits. A very weak or no momentum effect can be found when stocks are sorted into portfolios. Finally, and perhaps most importantly, results show that data-snooping bias can be very substantial. Neglecting the problem would lead to very different conclusions.