Optimal Investment and Reinsurance for Insurers with Uncertain Time-Horizon

This paper considers the investment-reinsurance problems for an insurer with uncertain time-horizon in a jump-diffusion model and a diffusion-approximation model. In both models, the insurer is allowed to purchase proportional reinsurance and invest in a risky asset, whose expected return rate and volatility rate are both dependent on time and a market state. Meanwhile, the market state described by a stochastic differential equation will trigger the uncertain time-horizon. Specifically, a barrier is predefined and reinsurance and investment business would be stopped if the market state hits the barrier. The objective of the insurer is to maximize the expected discounted exponential utility of her terminal wealth. By dynamic programming approach and Feynman-Kac representation theorem, we derive the expressions for optimal value functions and optimal investment-reinsurance strategies in two special cases. Furthermore, an example is considered under the diffusion-approximation model, which shows some interesting results

Culture and happiness

Culture is an important factor affecting happiness. This paper examines the predictive power of cultural factors on the cross-country differences in happiness and explores how different dimensions of cultural indices differ in their effects on happiness. Our empirical results show that the global leadership and organizational behavior effectiveness nine culture indices are all significantly related with happiness. Out of these nine indices, power distance (PDI) and gender egalitarianism (GEI) play the most important and stable role in determining subjective well-being (SWB). We further examine the relative importance of the various variables in contributing to the R-squared of the regression. The results show that PDI is the most important, accounting for 50 % of the contributions to R-squared of all variables, or equalling the combined contributions of income, population density and four other traditional variables. The contribution of GEI is 37.1 %, also well surpassing other variables. Our results remain robust even taking account of the different data for culture and SWB

Now is the Time: The Impact of Linguistic Time Reference on Corporate Default Risk

The research problem This paper assesses whether and how people’s perceptions of time — strong future time reference (FTR) versus weak FTR — affect corporate default risk. Motivation or theoretical reasoning Studies have shown that default risk varies across firms, regions, and countries, highlighting the need for a comprehensive understanding of the contributing factors. Traditional studies focus on how firm-level, industry-level, national and international economic and financial variables shape corporate default risk, but they fail to explain cross-country and cross-regional differences in corporate default risk from the perspective of informal institutions, particularly, language. This study takes the first step to examine whether and how future-oriented language shapes corporate default risk. The test hypotheses We first tested whether strong-FTR language decreases corporate default risk. We further tested whether the effect of strong-FTR language on default risk depends on firms’ level of information transparency. In addition, we tested whether the effect of strong-FTR language on default risk depends on a country’s disclosure requirements. Lastly, we tested whether the effect of strong-FTR language on default risk depends on a country’s control of corruption. Target population We find that corporate default risk is significantly higher in regions dominated by speakers of weak-FTR languages, using a comprehensive sample of firms in 36 countries with 180,013 observations spanning from 1988 to 2017. Adopted methodology Ordinary least square regressions were used in this study. Analyses Corporate default risk is measured by two proxies of firm probability of default, following Merton [(1974) Journal of Finance, 29(2), 449–470] and Lee and Lin [(2012) Journal of International Financial Markets, Institutions, and Money, 22(4), 973–989]. Our independent variable is Strong FTR, which equals 1 if a language belongs to the strong-FTR language family, as defined by the European Science Foundation’s Typology of Languages in Europe (EUROTYP) project. If a language does not require “obligatory [FTR] use in (main clause) prediction-based contexts” [Dahl (2000)Tense and Aspect in the Languages of Europe, O. Dahl (Ed.), pp. 309–328], then we put this language into the weak-FTR group. On the other hand, if a language does have the above-mentioned requirement, then it belongs to the strong-FTR group. Findings We found that corporate default risk is significantly higher in regions dominated by speakers of weak-FTR languages. Furthermore, the FTR effect on default risk is weakened in countries with stronger formal institutions (e.g., high disclosure quality, greater transparency, and less corruption). Our results introduce a new explanation for heterogeneity in corporate default risk, provide insights about whether language is an economic institution, and adds to research on the effects of languages on economic and financial outcomes