Are gold,USD, and Bitcoin hedge or safe haven against stock? The implication for risk management

This study investigates whether gold, USD, and Bitcoin are hedge and safe haven assets against stock and if they are useful in diversifying downside risk for international stock markets. We propose a combined GO-GARCH-EVT-copula approach to examine the hedge and safe haven properties of gold, USD, and Bitcoin. We then examine the attractiveness of these assets in reducing stock portfolio risk by using downside risk measures estimated by the proposed approach and other competing models. We also evaluate the relative performance of the proposed model in reducing downside risk with the competing models. The findings of the study indicate that the USD is the most valuable hedge and safe haven asset closely followed by gold, while Bitcoin is the least valuable. It is also observed that the proposed combined approach performs best in reducing the portfolio downside risk. The findings of this study are of significance for portfolio managers and individual investors who wish to protect the portfolio value during market turmoil.     

Labor unemployment risk and firm risk

This paper examines the effect of labor unemployment risk on firm risk. Using unemployment insurance benefits as a proxy for unemployment risk, we find an economically significant positive relation between unemployment risk and firm risk. This positive relation is more pronounced for firms that are more labor-intensive, have a higher layoff propensity and are more financially constrained. While existing literature that employs corporate policy measures such as debt and cash holdings suggests an opposite relationship, our paper presents evidence that the effects stemming from earnings management, earnings quality and reporting quality appear to dominate.     

Socioeconomic predictors of forest use values in the Peruvian Amazon: A potential tool for biodiversity conservation

Conservation is a crisis discipline requiring rapid action with limited funds. This study examines the potential of socioeconomic variables to predict forest use values. If natural resource use can be predicted from socioeconomic data, conservation planners could rapidly identify and focus conservation programs on the sectors of local populations that most intensively utilize local flora and fauna. Families in three communities in the northern Peruvian Amazon were surveyed over a 6-month period. Data were collected on use of flora and fauna from six locally determined use categories (food, medicine and poisons, wood, weavings, adornments, and “other”) in forest types of three age classes (fallow fields—very young forests, young secondary forests, and old secondary forests). Forest use values were the dependant variables calculated in $/ha/year. Socioeconomic variables included: age, education, family size, residence time, land worked, land owned, number of fishing nets, chickens, pigs, cows, and/or mules owned (all proxies for productive assets), and level of ecological knowledge (ability of informants to correctly identify forest species and answer basic questions about their biology). Ordinary least square multiple regressions were run independently for each forest type. Regressions were also run separately for the two most valuable use categories, food and wood. Low R² adjusted values (all < 0.3) reflect the difficulty in predicting human behavior due to confounding variables and complex interactions. Residence time and a household's community of residence were the most significant predictors of forest use values. Households in Vista Alegre, the community with the highest density of people and smallest landholdings per household, extracted the highest value of forest products per hectare. The longer a family stayed in any community the higher the value of forest goods they extracted. If families that lived in an area longest are the most intensive extractors of forest products, they should be a major focus for conservation programming. In addition, the higher value of products extracted from forests by some families may make them more open to strategies seeking to protect long-term viability of the resources they utilize. The importance of residence time also indicates that planners need to account for changes in the resource use patterns of stakeholders over time.     

基于价值分级的级差式石油资源税制研究

本文对我国石油业缴纳资源税的现状进行了分析，指出了实施级差式资源税的必要性，在此基础上，介绍了石油资源价值分级的理论、方法和数学模型。最后．以石油资源价值分级结果为依据．对我国实施级差式资源税的具体操作方法作了说明。     

客户知识的关键维度及其管理过程

客户知识成为企业维持持续竞争优势的关键资源。理解客户知识的内涵和关键维度是企业进行客户知识管理的前提和基础，论文结合不同行业企业的实践经验，提出客户知识应包括四个关键维度：用于客户的知识、来自客户的知识、关于客户的知识和共同创造的知识，并针对每个雏度分析了企业当前运用的管理方法，基于此．界定了客户知识管理的概念，构建了客户知识管理的过程模型，为企业有效进行客户知识管理提供参考。     

Mixed Duopoly,Merger and Multiproduct Firms

The literature on mergers has extensively analyzed the decision to merge by private firms, but it has not considered the decision to merge by private and public firms. We assume that when a private firm and a public firm merge (or when one of them acquires the other), they set up a multiproduct firm in which the government owns an exogenous percentage stake. In this framework, we show that the decision to merge by firms depends on the degree to which goods are substitutes and on the percentage of the shares owned by the government in the multiproduct firm.     

Is capital a collusion device?

Summary. We examine how irreversible capital reduces the possibility of a duopoly to sustain implicit collusion by grim strategies, when the product is homogenous and firms compete in quantities. Compared with the case of reversible capital, there are two countervailing effects: Deviation from an existing collusion is less attractive, because capital once installed causes costs forever. But the punishment will also be less severe due to the high capacity the deviating firm can build before punishment starts. The last effect dominates, meaning that the commitment value of capital is negative for all firms. If capital is irreversible, collusion breaks down for realistic magnitudes of interest rates. Received: April 30, 1999; revised version: November 30, 2001     

Teams, Firms and the Evolution of Profit Seeking Behavior

Even as advances in information theory over the last quarter century have cast increasing doubt on the proposition that firms successfully maximize profits, the objective of profit maximization continues to be an axiomatic feature of the neoclassical theory of the firm. This paper attempts to improve our understanding firms by treating the objective function as an open question. Specifically, an ontogenetic thought experiment is undertaken to address the question of what differentiates production teams from firms by asking why team members would sell their control rights to a principal, thereby transforming the team into a firm. What results is an account of the emergence of the objective of profit seeking. Profit seeking emerges endogenously as a more fit alternative than the objective of value maximization, which is less capable of coping with uncertainty through purposive adaptation.     

Preferences in the Future

Environmental economics has been much occupied with the discount rate, which is the value of future costs and benefits relative to present costsor benefits. But at least as important is the question of whatshould be discounted, that is, what the value of those future environmentalbenefits is to future generations. This paper analyzes the role for futurepreferences and discusses the state of knowledge. I argue that theappropriate discount rate is the market one, and that the real problemis determining future willingness-to-pay. This approach makes clearerthe connection between discounting and the valuation debate.This paper focuses on two features that have been prominent in that debate:existence value and reference dependence. I argue that thereis a vital connection between the two constructs and that this link yieldsimportant implications for future willingness-to-pay.