Equilibria in large economies with a separable Banach commodity space and non-ordered preferences

The purpose of this paper is to provide an existence result of equilibria for economies with a measure space of agents, a non-trivial production sector and an infinite dimensional commodity space. The commodity space is modeled by an ordered separable Banach space whose positive cone has a non-empty interior. The discretization approach proposed in this paper, allows us to extend the existence results in Khan and Yannelis [Equilibrium in markets with a continuum of agents and commodities. In: Khan, M.A., Yannelis, N.C. (Eds.), Equilibrium Theory in Infinite Dimensional Spaces. Springer, Berlin, 1991] and Podczeck [Economic Theory 9 (1997) 585] to economies with a non-trivial production sector and with possibly non-ordered but convex preferences as well as partially ordered (possibly incomplete) but non-convex preferences.     

Multilateral Comparison of Cost Structures in the Input–Output Tables of Japan,the US and West Germany

This paper presents a multilateral comparison of relative levels and structures of costs of production in Japan, the US and West Germany. The analysis is carried out by using harmonized input–output tables, which are converted at US prices by using adjusted sectoral purchasing power parities. A new accounting methodology is derived from recent developments of index number theory, whereas the chosen multilateral comparison procedure gives results that are invariant with respect to the order of the pairs of countries examined.     

运用GAHP法建立研发人员绩效考评体系

本文运用群体层次分析法(GAHP)结合研发人员自身的特点,建立多级研发人员绩效考评体系,运用Hadamard凸组合集结判断矩阵,解决了考评体系制定过程中受决策者主观偏好影响较大,考评指标难以定量描述的问题。并结合该体系在一家企业的应用,说明了其在研发人员绩效考评方面应用的有效性。     

Trade matters except to war neighbors: The international stock market reaction to 2022 Russia’s invasion of Ukraine

We investigate the role of international trade and proximity to war in international stock markets during the invasion of Ukraine by employing DiD designs and panel data comprising 70 stock markets. We find that differences in trade exposure to warring countries (trade effect) have a substantial and negative impact on non-European equity markets but are irrelevant for European markets. In contrast, differences in the distance to warring countries (proximity effect) have a significant and negative impact on European markets but have no bearing on non-European markets. We find that the relevance of rent from mineral, natural gas, and oil resources and the relevance of metals, ores, and fuels in exports operate as mitigators of the trade effect. Our paper provides valuable empirical evidence regarding the importance of mitigating the vulnerability of financial markets to international trade when a major war breaks out.     

INTEREG: A Twenty-region Input–Output Model for Italy

Since the regional scale turns out to be the scale at which fiscal devolution is likely to be accomplished in Italy, and that at which trade and growth interdependencies as well as regional convergence can be most conveniently investigated, a new 20-region input–output model for Italy seems to be a useful tool of analysis. Although various regional and interregional models have been constructed since the 1950s, none has been implemented for the whole system of 20 Italian administrative regions considered in their tight mutual dependence; also, the pool approach has not been greatly favoured, even in situations where direct information on regional trade is lacking. The main purpose of this paper is to report on the structure of the model, the rather complex procedure used in the model construction and the adopted solution technique. Some space is devoted to the problems encountered in handling regional trade endogenously in an input–output setting and to a comparison between the pool approach, used in the Italian model, and other current techniques. The paper also reports on some preliminary results regarding the regional impact of fiscal policy.     

China–US trade: implications on conflicts

ABSTRACT

In this study, we examine various aspects of China’s trade, the U.S.’ trade, and the bilateral trade between the two countries. The analysis of each aspect has direct and indirect implications on trade conflicts between the two countries. We focus on important factors, such as the growth of trade, import penetration, increased competitiveness of Chinese firms, comparative advantages of Chinese goods, China’s WTO entry and its compliance, and bilateral trade imbalance. While each of the factors can lead to trade frictions, individual factors will not have led to a large-scale trade war. These factors converge within a brief period and thus can be considered the China shock, thereby making other countries’ adjustments to their economic structures difficult. Therefore, trade frictions are inevitable.     

Expected exponential utility maximization of insurers with a Linear Gaussian stochastic factor model

In this paper, we consider the problem of optimal investment by an insurer. The wealth of the insurer is described by a Cramér–Lundberg process. The insurer invests in a market consisting of a bank account and m risky assets. The mean returns and volatilities of the risky assets depend linearly on economic factors that are formulated as the solutions of linear stochastic differential equations. Moreover, the insurer preferences are exponential. With this setting, a Hamilton–Jacobi–Bellman equation that is derived via a dynamic programming approach has an explicit solution found by solving the matrix Riccati equation. Hence, the optimal strategy can be constructed explicitly. Finally, we present some numerical results related to the value function and the ruin probability using the optimal strategy.     

Ownership concentration and bank risk: international study on acquisitions

This paper explores the effects of different types of bank ownership concentration on changes in bank risk during acquisition years. Using multi-country data from 2000 to 2006, during which market failures caused by various crises and government interventions are less influential to acquisition decisions, we collect 505 banking acquisition deals from 23 countries to examine which type of ownership concentration (such as financial intermediary, capital investor, non-financial, and state ownership) brings larger changes to an acquirer’s risk from pre-acquisition year to post-acquisition year (including non-performing loans, capital adequacy ratio, loan loss reserve, and credit rating). The empirical analyses show that acquirer banks with a concentration of shares owned by financial intermediaries and non-financial firms experience larger risk changes during acquisition years. In contrast, the risk changes of acquirer banks with a concentration of capital investors and state ownership are lower. Robustness checks from the random effect estimation, instrumental variables model, reverse causality, and different subsamples of (non-)U.S. or different levels of regulation enforcement confirm these results.     

Optimal pair-trading strategy over long/short/square positions—empirical study

Suzuki [Automatica, 2016, 67, 33–45] solves the optimal, finitely iterative, three-regime switching problem for investing in a mean-reverting asset that follows an Ornstein–Uhlenbeck price process and find explicit solutions. The remarkable feature of this model is that the investor can explicitly take either a long, short or square position and can switch the position, with transaction costs, during the investment period. We run empirical simulations of such multiple-regime switching models. There are very few such attempts in the existing literature because it is difficult to find, first, an explicit solution to the problem and second, appropriate financial assets that follow the artificial stochastic process required by the mathematical model. According to the Monte Carlo simulations of the optimal pair-trading strategy, the mean daily Sharp ratio is more than 2.3, whereas the mean Sharp ratio for the historical simulation of the ‘stub’ pairs (combinations of parent/subsidiary companies) is 0.6886. We believe that the results obtained from performing the empirical simulations are remarkable and consider that the optimal switching strategy of the rigorous mathematical model is applicable to businesses in the real world. For the reference many pseudo-program codes are added, which can help to replicate the optimal trading strategies.     

Globalization and Outward Foreign Direct Investment

While recent research into foreign direct investment (FDI) has focused on examining the importance of institutions, corruption, money laundering, and tax havens, the role of globalization on FDI has not yet been explored. This research investigates the impacts of globalization on outward FDI. We find that both overall globalization and its economic and social dimensions significantly positively influence outward FDI flows. We also demonstrate that beyond the level of globalization, corruption, money laundering, and the status of a country as a tax haven, cross-country similarity also plays an important role. Accordingly, policies specifically designed to increase the transparency of outward FDI flows should be required to address money laundering and the existence of tax havens.