我国并购浪潮假说的实证检验

并购活动呈浪潮式发展在西方发达国家几乎已成典型化事实,回顾我国并购活动发展历程发现,这一典型化事实在我国似乎也是存在的.为了加强对总体并购活动发展态势的了解和掌握,促进我国并购理论的完善和发展,本文对我国并购浪潮假说进行检验.检验结果表明,三状态马尔科夫区制转移模型和我们对并购浪潮的定义能够正确地刻画我国总体并购活动,我国总体并购活动呈浪潮式发展,并购活动具有周期性,而拒绝认为并购活动遵循随机游走过程.     

Recursive risk measures under regime switching applied to portfolio selection

In this paper, we define the conditional risk measure under regime switching and derive a class of time consistent multi-period risk measures. To do so, we describe the information process with regime switching in a product space associated with the product of two filtrations. Moreover, we show how to establish the corresponding multi-stage portfolio selection models using the time consistent multi-period risk measure for medium-term or long-term investments. Take the conditional value-at-risk measure as an example, we demonstrate the resulting multi-stage portfolio selection problem can be transformed into a second-order cone programming problem. Finally, we carry out a series of empirical tests to illustrate the superior performance of the proposed random framework and the corresponding multi-stage portfolio selection model.     

汇率制度与货币政策——发展中国家和小国经济的思考

本文中,我们将研究在资本市场对外开放及汇率固定条件下货币政策的管理机制问题。我们的目标是探讨货币政策能否在此种情况下继续独立而有效地稳定国内经济。为此,我们建议两种制度上的约束。给定这些约束,我们证明货币政策仍然有效。同时,本文讨论了此种制度选择对发展中国家和小国经济的意义。     

Bayesian Risk Management for Equity-Linked Insurance

This paper describes how to apply Markov Chain Monte Carlo (MCMC) techniques to a regime switching model of the stock price process to generate a sample from the joint posterior distribution of the parameters of the model. The MCMC output can be used to generate a sample from the predictive distribution of losses from equity linked contracts, assuming first an actuarial approach to risk management and secondly a financial economics approach. The predictive distribution is used to show the effect of parameter uncertainty on risk management calculations. We also explore model uncertainty by assuming a GARCH model in place of the regime switching model. The results indicate that the financial economics approach to risk management is substantially more robust to parameter uncertainty and model uncertainty than the actuarial approach.     

监测系统性金融风险——中国金融市场压力指数构建和状态识别

对系统性金融风险进行识别和评估,日益成为各国中央银行的核心关切。囿于数据频率,基于金融机构经营稳健性评估的金融系统性风险监测存在一定的滞后性,不利于中央银行及时进行风险应对,利用金融市场交易数据进行风险监测可极大程度克服滞后性问题。本文根据中国金融市场特点,选取债券市场、股票市场、货币市场和外汇市场17个有代表性的指标,运用经验累积分布函数法分别构造了各子市场的压力指数,以各子市场之间时变的相关关系刻画系统性金融风险的跨市场传染特征,合成金融市场压力指数,并通过建立马尔可夫区制转换模型,对金融市场压力状态进行识别。金融市场压力指数能有效反映样本域内的压力事件,并兼具稳健性、能逐日监测等优点,为监测评估系统性金融风险、选择政策实施窗口和评估政策实施效果等提供了有力工具。     

Value-at-risk in a market subject to regime switching

Many empirical researches report that value-at-risk (VaR) measures understate the actual 1% quantile, while for Inui, K., Kijima, M. and Kitano, A., VaR is subject to a significant positive bias. Stat. Probab. Lett., 2005, 72, 299–311. proved that VaR measures overstate significantly when historical simulation VaR is applied to fat-tail distributions. This paper resolves the puzzle by developing a regime switching model to estimate portfolio VaR. It is shown that our model is able to correct the underestimation problem of risk.     

可持续转型理论中利基研究新进展

近年来,可持续转型已成为一个新的研究领域,其中利基,尤其是利基与社会—技术体制的相互关系更是研究热点。在可持续转型研究范畴内,依循利基相关思想和观点发展脉络,梳理文献中利基成长条件,以及利基催生体制转变的动态过程、模式、可能的路径选择等理论与实证分析,讨论利基研究对中国能源可持续发展研究的指导意义,为相关学者及政策制定者提供一定借鉴。     

发展战略与汇率制度选择

一般而言,一国汇率制度的选择会受该国经济和政治因素的影响,而发展中国家在选择汇率制度时还会受到其发展战略的影响.本文考察了发展战略与汇率制度选择之间的关系,发现实施赶超战略和进口替代战略的国家会选择固定汇率制度并高估本币币值,甚至采用多元汇率制度;实施出口导向战略的国家会选择固定汇率或者钉住汇率制度,一般钉住美元且波幅很小,并低估本币币值;而只有真正实施比较优势战略的国家才选择浮动汇率制度,政府很少干预汇率的变化.现阶段,我国要坚定地实施有管理的浮动汇率.并适当控制人民币的升值速度.     

Institutional Resource Regimes: Towards sustainability through the combination of property-rights theory and policy analysis

Although the concept of sustainable development is gaining increasing political acknowledgement, despite the implementation of environmental policies specifically intended to solve problems in this area, environmental degradation resulting from the recurrent problems associated with the over-exploitation of natural resources remains an important concern for most countries. How can this situation be explained? This article postulates that a combination of approaches from the political sciences (in particular policy analysis) and institutional economics would enable the identification of the most relevant regulatory dimensions which can explain the (un)sustainable uses of resources. Based on this starting point, it develops an innovative theoretical framework, i.e. that of the Institutional Resource Regime (IRR).The adopted approach facilitates the analysis of the regulatory measures and resource management practices associated with complex and competitive heterogeneous use situations from a perspective of sustainability. Indeed, the two dimensions of “extent” and “coherence” enable the definition and categorization of the IRR of a given resource. The extent of an IRR refers to the total number of goods and services in use that are actually regulated by the regime at a given time, while the coherence measures the degree of coordination of the various user-actors within the regime. One of the major contributions of the IRR framework is its ability to describe the different configurations of regimes, both theoretically and empirically, and to predict their effect on the sustainability of a resource based on the hypothesis that high levels of regime extent and coherence are necessary preconditions for sustainability.By doing this, the IRR framework also enables the analysis of the actual use rights to the goods and services provided by resources as the result of the political strategies of actors who mobilize different legal provisions, which stem either from formal property rights to resources or from policies that regulate the use and protection of these resources.Having developed the central research hypotheses and the empirical research procedure, we present the lessons drawn from the first campaign of field research which was mainly conducted in Switzerland from 1999. Based on the evidence from these initial findings, it is suggested that the scope of the IRR framework could be far broader than evidenced by its application in the case of Switzerland where it was initially developed.     

Do macroeconomic variables have regime-dependent effects on stock return dynamics? Evidence from the Markov regime switching model

The predictability of stock return dynamics is a topic discussed most frequently in empirical studies; however, no unanimous conclusion has yet been reached due to the ignorance of structural changes in stock price dynamics. This study applies various regime switching GJR-GARCH models to analyze the effects of macroeconomic variables (interest rate, dividend yield, and default premium) on stock return movements (including conditional mean, conditional variance, and transition probabilities) in the U.S. stock market, so as to clearly compare the predictive validity of stable and volatile states, as well as compare the in-sample and out-of-sample portfolio performance of regime switching models. The empirical results show that macro factors can affect the stock return dynamics through two different channels, and that the magnitude of their influences on returns and volatility is not constant. The effects of the three economic variables on returns are not time-invariant, but are closely related to stock market fluctuations, and the strength of predictability in a volatile regime is far greater than that in a stable regime. It is found that interest rate and dividend yield seem to play an important role in predicting conditional variance, and out-of-sample performance is largely eroded when the effects of these two factors on volatility are ignored. In addition, the three macro factors do not play any role in predicting transition probabilities.