The Home Bias in Equities and Distribution Costs

We show that incorporating distribution costs into a general equilibrium model of international portfolio choice helps to explain the home bias in international equity investment. Our model is able to replicate observed investment positions for a wide range of parameter values, even if agents have an incentive to hedge labor income risk by purchasing foreign equity. This is because the existence of a retail sector affects both the correlation of domestic returns with the domestic price level and the correlation between financial and non‐financial income.     

Overconfidence and optimism: The effect of national culture on capital structure

This study assesses whether variations in capital structure across countries can be explained by cultural traits. We analyze capital structure choices of firms in 42 countries and provide evidence that these decisions are affected by the degree of individualism of the country where the firm is located. We assert that managers in countries with high level of individualism exhibit strong optimism and overconfidence which cause an upward bias in perception of supportable debt ratios. Our results are robust to controlling for other firm- and country specific determinants of capital structure choices and to using alternative model specifications and estimation techniques.     

When do MNCs fail to learn from prior failure experience?

Do multinational corporations (MNCs) learn from their prior failures in international joint ventures (IJVs)? When does decision makers’ cognitive inability hinder MNCs from learning through their prior failure experiences? In the context of IJV survival in subsequent IJV entries, this study compares predictions made from two distinct theoretical perspectives, both of which belong to the behavioural school in strategy literature. According to the performance feedback perspective, MNCs may effectively learn from their prior failure experiences gained in familiar decision‐making contexts. On the other hand, according to the cognitive bias perspective, MNCs may not be able to effectively learn from their prior failure experiences if they inaccurately interpret the causes of their prior failures. The results provide partial support for the notion that MNC decision makers may not be able to effectively learn from their prior failures because of their cognitive biases. Copyright © 2015 ASAC. Published by John Wiley & Sons, Ltd.     

Kernel-type estimators for the distortion risk premiums of heavy-tailed distributions

A new kernel-type estimator for the distortion risk premiums of heavy-tailed losses is introduced. Using a least-squares approach, a bias-reduced version of this estimator is proposed. Under suitable assumptions, the asymptotic normality of the given estimators is established. A small simulation study, to illustrate the performance of our method, is carried out.     

Barrier present value maximization for a diffusion model of insurance surplus

In this paper, we study a barrier present value (BPV) maximization problem for an insurance entity whose surplus process follows an arithmetic Brownian motion. The BPV is defined as the expected discounted value of a payment made at the time when the surplus process reaches a high barrier level. The insurance entity buys proportional reinsurance and invests in a Black–Scholes market to maximize the BPV. We show that the maximal BPV function is a classical solution to the corresponding Hamilton–Jacobi–Bellman equation and is three times continuously differentiable using a novel operator. Its associated optimal reinsurance-investment control policy is determined by verification techniques.     

Asymptotic comparison at optimal levels of reduced‐bias extreme value index estimators

In this article we are interested in the asymptotic comparison, at optimal levels, of a set of semi‐parametric reduced‐bias extreme value (EV) index estimators, valid for a wide class of heavy‐tailed models, underlying the available data. Again, as in the classical case, there is not any estimator that can always dominate the alternatives, but interesting clear‐cut patterns are found. Consequently, and in practice, a suitable choice of a set of EV index estimators will jointly enable us to better estimate the EV index γ, the primary parameter of extreme events.     

Sample bias in contingent valuation: A comparison of the correction methods

Abstract

This article compares various methods for correcting contingent valuation aggregate benefits when the sample is known to be biased. A sample is defined as the population, and response rates are simulated on the basis of a measure of salience. The simulated response rates suffer from nonresponse bias and selection bias. Coefficient and benefit estimates that result from weighting and self‐selection correction approaches are compared with the true coefficient and benefit estimates. Our results indicate that at both low and high response rates the standard approach leads to bias, and either correction approach will reduce the bias in coefficient and benefit estimates.     

净现值法在融资租赁决策中的运用

融资租赁作为一种融资手段已经广泛应用于各行业领域，如何对具体的融资租赁项目进行合理、科学的分析和评价，对企业有效降低融资成本、提高资金使用效率有着重要意义。针对某一具体的融资租赁项目而言，租入资产账面价值的确定、租金的支付方式、折旧及摊销的抵税作用等因素都会对该融资项目的现金净流量产生重大影响，进而影响最终决策。     

新疆高校学生档案管理的价值分析

本文立足于新疆高校学生档案管理的实际状况,通过详实而全面的调研,阐析新疆高校学生档案管理现状和存在的问题,并对如何解决这些问题做出理性的选择。