双边投资协定与外商直接投资——基于信号模型的博弈分析

在Jan Peter Sasse(2011)分析的基础上,进一步放宽其假设条件,利用不完全信息下的信号传递模型,对双边投资协定(Bilateral Investment Treaty,BIT)的信号效应机制进行分析.研究发现:BIT作为东道国传递给投资者的信号,该信号有效的条件在于BIT遵守成本的差异,投资者因此有了区分不同类型东道国的依据.东道国之间的引资竞争关系,会不断升级BIT的版本与内容,直至投资环境较差东道国的遵守成本高至无法覆盖签订BIT所带来的投资收益,此时高标准BIT的二次信号有效.此外,在模型拓展分析的基础之上,试图解释了“为何当前高标准BIT已成为各国所关注的对象?以及投资环境越自由的东道国所签订的BIT标准为何越高?”等问题,这对于理解BIT影响外商直接投资的信号机制提供了新的视角与思路.     

风险收益不对等条件下中国对外直接投资合作模式的优化

针对对外直接投资所面临的资金短缺、进展不顺利的问题,在风险分担理论的基础上构建中国政府、东道国政府和社会资本的投资合作模型。目的在于设计出足够吸引社会资本投入,且保证中国对外直接投资顺利开展的风险分担模式。并通过数值模拟风险分担比例和利润分享比例对投资时机和投资价值的影响,证明了中国政府与社会资本间存在最优的风险分担比例,以及东道国政府与社会资本存在最优利润分享比例。     

激励国外直接投资的合资方案

本文讨论在国际经济投资中，国外投资者主观认定的政策风险对国外直接投资的影响，提出东道国激励项目中的国外直接投资达到不受风险影响投资量的合资方案，证明了该方案的存在性，并在不同条件下给出方案的选择方法．讨论了合资方案对合资后双方的利益的影响。     

对外投资创新、优势产业国际化与轨道交通全产业链海外发展

中国的优势产业具备国际化发展的条件,中国作为一个经济大国,拥有完备的产业体系、齐全的产业门类、大量的人才、充足的外汇储备和稳定的政治环境.为了加快中国优势产业的国际化发展,需要对"对外投资与合作"进行创新.轨道交通产业是中国的优势产业,结合该产业的国际化发展案例,分析了中国优势产业通过对外投资创新进行发展.研究认为,轨道交通产业的国际化发展,可以创造性地运用BT(建设-移交)、PPP、EPC等"对外投资与合作"模式.根据对外投资与合作的现状,以及中国高铁的实际案例,就"推进中国优势产业国际化"和"创新对外投资与合作方式"提出了有关建议.     

Entry strategies for multinational enterprises and host countries

A multinational enterprise (MNE) has a number of investment strategies to enter into a foreign market, such as foreign direct investment (FDI), joint venture (JV), exclusive licensing (EL), and others. In contrast, a host government also has the choice to introduce a suitable entry strategy into its local market, with the objective of maximizing its tax revenue or national social welfare. In this paper, we explore the optimal strategies for not only a MNE but also a host country.     

考虑投资人过度自信偏好的占线股票投资策略研究

当股票价格及收益的统计信息不足或无法构建精确概率分布时,股票占线投资问题获得广泛关注,即投资人能够运用在线算法和竞争分析设计出更好的占线投资策略以应对股价的不确定性。本文将投资人过度自信偏好这种认知偏差,引入到股票占线投资问题中,构建了离线对手与股票占线投资人的博弈模型,分别给出一般情形和存在动量效应情形下的最优混合策略和混合策略纳什均衡。结果发现,两种情形下的最优混合策略不仅克服了传统股票投资策略对股价或股票收益概率分布假设的过度依赖,并且更好地抽象了股票占线投资人过度自信、追涨杀跌等特征,对现有行为金融与金融占线交易问题的研究提供了有益补充。     

奈特不确定下带通胀的跨国直接投资问题

本文研究了一家公司在含糊下带通胀的跨国直接投资(FDI)问题.利用Ito公式推导出含糊下考虑通胀因素的消费篮子价格动力学方程.结合公司进行跨国投资决策时需要缴纳的法人税,给定了跨国直接投资的价值,并在通胀折现的跨国直接投资价值最大化标准下,分析了公司进行(不可逆)跨国直接投资的最优时间,通过解HJB方程推导出了公司由出口转向跨国直接投资时的最优GDP水平.通过进行数值模拟,定量分析了通胀因素对公司跨国直接投资策略的影响.     

在线网络借贷投资决策模型及实证研究

P2P网络借贷作为电子商务在金融领域的延伸与应用,近年来得到广大学者的关注.但是目前的理论研究中,鲜有从投资者信息挖掘的角度进行投资决策分析.本文提出一个新颖的方法,即投资者构成分析方法,通过分析贷款的众多投资者信息遴选出最有价值的投资,辅助投资者进行投资决策.首先从投资者的历史投资收益率、风险偏好以及投资经验三个维度构建投资者档案(investor profile),进而基于投资者档案构建投资者构成分析模型,最后通过美国最大的在线网络借贷网站Prosper的数据,对本文提出的构想及模型进行了实证研究.实验结果表明本文提出的利用投资者构成分析的方法辅助投资者进行投资决策是可行的,文中构建的模型表现出良好的预测能力,能够有效地筛选出有价值的投资.     

Corporate governance and firm performance: Evidence from Japanese manufacturing industries after the lost decade

This study investigates whether a series of recent economic reforms on corporate governance influence the operational performance of Japanese manufacturing industries after the bubble economy. This study finds that stable shareholding is an important aspect of traditional Japanese corporate governance. Many Japanese corporate leaders still believe that the stable shareholders are important for their governance. However, the stable shareholding enhances their operational performance only when the ratio of shares held by stable shareholders is more than 61.21%. This result is inconsistent with the previous governance strategy of Japanese management. Moreover, the foreign investment enhances the operational performance of Japanese firms until the ratio of shares held by foreign shareholders becomes 19.49%. Japanese corporate leaders are very afraid of the foreign investment. This result is inconsistent with their opinions, as well. The second result indicates that Japanese firms need to accept more foreign investment and pay attention to the opinion of foreign investors. Finally, it is important for Japanese firms to make a balance between the traditional stable shareholding and the foreign investment.     

A simple model of corporate international investment under incomplete information and taxes

This paper extends the theory of corporate international investment in Choi (J. Int. Bus. Stud. 20: 145–155, 1989) in an environment where the segmentation of international capital markets for investors or the presence of agency costs provide some independence to corporate decisions. The model shows that the real exchange risk, the competition between firms in different markets and diversification gains affect corporate international investment. By accounting for the role of information as defined in the models of Merton (J. Finance 42: 483–510, 1987), Bellalah (Int. J. Finance Econ. 6: 59–67, 2001a) and Bellalah and Wu (Int. J. Theor. Appl. Finance 5(5): 479–495, 2002), the model embodies different existing explanations based on economic and behavioral variables. We show in a “two-country” firm model that real exchange risk, diversification motives and information costs are important elements in the determination of corporate international investment decisions. The dynamic portfolio model reflects the main results in several theories of foreign direct investment. Our model accounts for the role of information in explaining foreign investments. It provides simple explanations which are useful in explaining the home bias puzzle in international finance. Using the dynamical programming principle method, we provide the general solution for the proportion of firm’s total capital budget. We also use a new method to get explicit solutions in some special cases. This new method can be applied to solve other financial control problems. The simulating results are given to show our conclusion and the influence of some parameters to the optimal solution. The economic results can be seen as a generalization of the model in Solnik (J. Econ. Theory 8: 500–524, 1974).     

境外机构投资者持股周期与公司治理绩效关系的实证研究

选取2003-2015年我国沪深A股上市公司中有境外机构投资者(QFII)持股的公司作为研究样本,将QFII持股周期划分为短期、中期和长期三类,通过理论分析和实证分析研究QFII不同持股周期对上市公司治理绩效的影响,研究结果表明,QFII短期持股时,奉行财务投资理念,通过买卖价差获取投资收益,不会对公司治理绩效产生影响;QFII中期持股时,会对公司治理绩效产生影响,但影响作用较微弱;QFII长期持股时,主要奉行价值投资理念,通过积极参与公司治理影响公司治理绩效,获得高额投资收益。本文的研究结论对我国境内机构投资者和上市公司具有一定的借鉴作用,同时可以为我国引入QFII提供政策建议。     

Maximizing political efficiency via electoral cycles: An optimal control model

The exchange between an elected politician, such as a president, prime minister or a local governor and interest groups is analyzed as an optimization problem. The optimal control model shows the conditions required from regulatory policy and resource investment in order to maximize the politician's utility from the interest group's support. Given one interest group, such a policy includes two time intervals: Well in advance of the elections the politician in office should invest a constant level of resources, while for a certain period close to the elections the politician increases or decreases investment, depending on the electoral significance of that interest group. This proves that electoral cycles not only empirically exist, but also maximize the politician's utility from interest groups' support. Given several interest groups, at each point in time, the politician should invest in the group that contribute the most for his or her political interests.     

Mean-chance model for portfolio selection based on uncertain measure

This paper discusses a portfolio selection problem in which security returns are given by experts’ evaluations instead of historical data. A factor method for evaluating security returns based on experts’ judgment is proposed and a mean-chance model for optimal portfolio selection is developed taking transaction costs and investors’ preference on diversification and investment limitations on certain securities into account. The factor method of evaluation can make good use of experts’ knowledge on the effects of economic environment and the companies’ unique characteristics on security returns and incorporate the contemporary relationship of security returns in the portfolio. The use of chance of portfolio return failing to reach the threshold can help investors easily tell their tolerance toward risk and thus facilitate a decision making. To solve the proposed nonlinear programming problem, a genetic algorithm is provided. To illustrate the application of the proposed method, a numerical example is also presented.     

Dynamic multi-criteria evaluation of co-evolution strategies for solving stock trading problems

Risk and return are interdependent in a stock portfolio. To achieve the anticipated return, comparative risk should be considered simultaneously. However, complex investment environments and dynamic change in decision making criteria complicate forecasts of risk and return for various investment objects. Additionally, investors often fail to maximize their profits because of improper capital allocation. Although stock investment involves multi-criteria decision making (MCDM), traditional MCDM theory has two shortfalls: first, it is inappropriate for decisions that evolve with a changing environment; second, weight assignments for various criteria are often oversimplified and inconsistent with actual human thinking processes.In 1965, Rechenberg proposed evolution strategies for solving optimization problems involving real number parameters and addressed several flaws in traditional algorithms, such as their use of point search only and their high probability of falling into optimal solution area. In 1992, Hillis introduced the co-evolutionary concept that the evolution of living creatures is interactive with their environments (multi-criteria) and constantly improves the survivability of their genes, which then expedites evolutionary computation. Therefore, this research aimed to solve multi-criteria decision making problems of stock trading investment by integrating evolutionary strategies into the co-evolutionary criteria evaluation model. Since co-evolution strategies are self-calibrating, criteria evaluation can be based on changes in time and environment. Such changes not only correspond with human decision making patterns (i.e., evaluation of dynamic changes in criteria), but also address the weaknesses of multi-criteria decision making (i.e., simplified assignment of weights for various criteria).Co-evolutionary evolution strategies can identify the optimal capital portfolio and can help investors maximize their returns by optimizing the preoperational allocation of limited capital. This experimental study compared general evolution strategies with artificial neural forecast model, and found that co-evolutionary evolution strategies outperform general evolution strategies and substantially outperform artificial neural forecast models. The co-evolutionary criteria evaluation model avoids the problem of oversimplified adaptive functions adopted by general algorithms and the problem of favoring weights but failing to adaptively adjust to environmental change, which is a major limitation of traditional multi-criteria decision making. Doing so allows adaptation of various criteria in response to changes in various capital allocation chromosomes. Capital allocation chromosomes in the proposed model also adapt to various criteria and evolve in ways that resemble thinking patterns.     

基于行为金融视角的基金申赎行为实证研究

以开放式证券投资基金申购、赎回行为背后的行为金融机理为研究对象,通过分析相关变量作用于基金投资者心理的方式和路径,探讨其对基金申购、赎回所产生的影响。在理论分析的基础上,提出基金业绩、规模、存续时间、价位、分红等变量能够各自基于信号传递、心理账户、预期框定偏差、预期惯性、处置效应等多元化路径影响投资者心理,并作用于基金申购、赎回和基金流量,并据此提出了相关假设。进一步地,通过建立结构方程模型,以我国327只股票型开放式证券投资基金为样本,对2011至2013年三组年度截面数据进行了检验。实证结果表明信号传递、预期框定偏差路径始终稳定存在,预期惯性路径仅在2011、2013年实证检验中存在,处置效应路径只在2012年检验中存在、且呈现非对称性特征,而心理账户路径则无法得到证实,据此得出结论认为基金业绩对基金申赎影响最为显著但不具稳定性。最后,从投资者行为模式和基金市场发展环境等角度对实证结果进行了分析。     

The role of index bonds in universal currency hedging

This study examines the demand for index bonds and their role in hedging risky asset returns against currency risks in a complete market where equity is not hedged against inflation risk. Avellaneda's uncertain volatility model with non-constant coefficients to describe equity price variation, forward price variation, index bond price variation and rate of inflation, together with Merton's intertemporal portfolio choice model, are utilized to enable an investor to choose an optimal portfolio consisting of equity, nominal bonds and index bonds when the rate of inflation is uncertain. A hedge ratio is universal if investors in different countries hedge against currency risk to the same extent. Three universal hedge ratios (UHRs) are defined with respect to the investor's total demand for index bonds, hedging risky asset returns (i.e. equity and nominal bonds) against currency risk, which are not held for hedging purposes. These UHRs are hedge positions in foreign index bond portfolios, stated as a fraction of the national market portfolio. At equilibrium all the three UHRs are comparable to Black's corrected equilibrium hedging ratio. The Cameron-Martin-Girsanov theorem is applied to show that the Radon-Nikodym derivative given under a P -martingale, the investor's exchange rate (product of the two currencies) is a martingale. Therefore the investors can agree on a common hedging strategy to trade exchange rate risk irrespective of investor nationality. This makes the choice of the measurement currency irrelevant and the hedge ratio universal without affecting their values.     

Evaluating performance of Iranian cement firms using an integrated fuzzy AHP–VIKOR method

In today’s competitive environment, a firm’s performance evaluation and its comparison with other companies is an important issue for investors, creditors and companies in order to reach their investment goals. They can also develop their place to increase their revenue. The aim of this study is presenting a model based on fuzzy analytic hierarchy process (FAHP) and VIKOR (Vlse Kriterijumska Optimizacija Kompromisno Resenje) method. This combined method (fuzzy AHP–VIKOR) in the firm’s performance evaluation is presented by financial ratios. In this research, the proposed method is utilized in evaluating the performance of 27 Iranian cement firms in the Tehran stock exchange market for 2 years (2008 and 2009), separately. The FAHP method is used to determine weights of criteria taking the subjective judgments of decision makers. VIKOR method is then applied for ranking the firms.     

The Optimal Interaction between a Hedge Fund Manager and Investor

ABSTRACT

This study explores hedge funds from the perspective of investors and the motivation behind their investments. We model a typical hedge fund contract between an investor and a manager, which includes the manager’s special reward scheme, i.e., partial ownership, incentives and early closure conditions. We present a continuous stochastic control problem for the manager’s wealth on a hedge fund comprising one risky asset and one riskless bond as a basis to calculate the investors’ wealth. Then we derive partial differential equations (PDEs) for each agent and numerically obtain the unique viscosity solution for these problems. Our model shows that the manager’s incentives are very high and therefore investors are not receiving profit compared to a riskless investment. We investigate a new type of hedge fund contract where the investor has the option to deposit additional money to the fund at half maturity time. Results show that investors’ inflow increases proportionally with the expected rate of return of the risky asset, but even in low rates of return, investors inflow money to keep the fund open. Finally, comparing the contracts with and without the option, we spot that investors are sometimes better off without the option to inflow money, thus creating a negative value of the option.     

Valuing Internet companies: a DEA-based Multiple Valuation Approach

The Internet industry has created a great deal of marvels over the past decade. Assessing Internet companies’ values provides an alternative tool to help make better investment decisions. This paper presents a hybrid of both DEA and multiple valuation methods to valuate Internet companies. Four tailored valuation methods were proposed and a sample of 52 firms was tested based on Price-to-Gross Margin ratio. With the focus on the estimation direction (overvalued/undervalued), verified with the real prices, an accuracy rate of approximately 70% on average has been obtained from these four methods. The proposed methods allow investors to have a more accurate estimation of the subject company's current and future stock prices. This implies that the research results could help investors when they are making long-term or short-term investments.     

Loss aversion with multiple investment goals

This paper presents a time-continuous portfolio selection model with loss averse investors, who possess multiple investment goals at different time horizons. The model assumes partial narrow framing. Investors follow a two-step approach. First, they optimally allocate wealth among investment goals. Second, they determine an optimal investment strategy for each investment goal separately. We show that when loss aversion is according to the experimental findings, investors mainly invest their wealth to reach long-term goals and adopt investment strategies with high leverage to reach short-term goals. The overall strategy also display high leverage. The same patterns is observed when loss aversion is extreme and goals are very ambitious. By contrast, when loss aversion is extreme but goals are not too ambitious, investors mainly invest to reach short-term goals and adopt safe investment strategies for this purpose.