金融市场的复杂性与金融风险调控：基于金融混沌理论

以金融混沌理论为代表的非线性金融理论是金融研究与金融实务领域的一个前沿工具.已有的研究表明金融市场是一个复杂的动力系统,具有显著的混沌效应.本文依据混沌控制的一般原理,提出了金融市场风险调控的原理与方法.这一研究结果将为探索金融市场与风险管理理论提供新的方向.     

低利率时期的货币政策效果——台湾地区及日本经验

日本央行在最近一波的景气衰退中被指为货币政策操作不佳,因其似乎只专注降低利率而忽视其它传递管道.货币政策在景气差的低利率时期是否能有效果是本文所要探讨的.台湾地区货币主管部门在上一波不景气中也不断以调降利率作为因应,因此本文利用VAR(向量自我回归)模型分别针对台湾地区及日本这两段经济不景气的低利率时期进行讨论分析.根据冲击反应分析显示,不论是台湾地区或日本在观察样本期间都得到货币政策无效的结论,其中台湾地区可能存在"投资陷阱";日本则发现存在"流动性陷阱".     

Out‐of‐sample stock return predictability in emerging markets

This article builds on the widely debated issue of stock return predictability by applying a broad range of predictor variables and comprehensively considering the in‐sample and out‐of‐sample stock return predictability of ten advanced emerging markets. It compares forecasts from models with a single predictor variable, multiple predictor variables and a combination forecast approach. The results confirm the findings of Welch and Goyal (2008) for US data that only a limited number of individual predictor variables are able to deliver significant out‐of‐sample forecasts. However, a combination forecast approach provides statistically and economically significant out‐of‐sample forecast results.     

Forecasting Foreign Exchange Markets Using Google Trends: Prediction Performance of Competing Models

Abstract

Foreign exchange markets affect a variety of humans and businesses worldwide and there is a wide array of literature aimed at providing more accurate forecasts of their movement. In an attempt to quantify human expectations, Google query search terms related to foreign exchange markets are used to help explain and predict foreign exchange rates between the United States’ dollar and ten other currencies during the time period of January 2004 and August 2018. We find evidence that, while Google Trends can be helpful in prediction, it is necessary to implement some sort of shrinkage or sparsity scheme on the coefficients.     

金融衍生产品风险控制与交易机制创新

我国金融衍生品市场正处在快速发展的时期，但同时也存在着诸多的风险，其中主要为市场风险、信用风险、流动性风险、操作风险和法律风险。我国商业银行在发展金融衍生品的同时，必须高度重视对风险的控制，在培育银行金融衍生产品的核心竞争力，加快金融创新以及改进衍生产品业务的管理体制和运行机制方面实施交易机制创新，以减少金融风险，实现健康有序发展。     

分析师的盈利预测偏差与本地优势

分析师在金融市场中起着重要的信息中介作用,其信息来源及获取方式会直接影响信息处理的质量。本文从分析师对企业年度盈利预测的偏差出发,基于对分析师与公司地域关系的实证研究,发现分析师在预测那些所在地与分析师隶属的机构同属一个省份的公司时,预测结果更加准确,这种本地优势与公司高成长性及公司国有性质显著相关。研究还发现,我国分析师的本地优势与个人本身的乐观性并无关系,可能更多与信息优势相关。     

中国外汇储备与货币供给量的关系——基于双对数模型

2001年以来,持续的双顺差促使外汇储备量迅速积累,人民币升值压力增大,为了维持人民币汇率的稳定,政府不得不加大货币投放量来回笼外汇市场上过多的外汇。通过建立外汇储备和货币供给量(M1、M2)之间的双对数模型,进行实证分析得出结论:外汇储备的增加确实推动了中国货币供应量的增加,并且外汇储备变动给M1带来的影响大于M2。因此,应适当控制外汇储备规模消除外汇储备超额增长的制度性原因,完善货币政策工具,积极进行金融创新。     

人民币汇率的非均衡分析与汇率制度的宏观效率

在现行制度背景下 ,本文从我国外汇市场经济主体微观行为出发 ,建立了我国的外汇需求和供给函数 ;进而分析了市场的均衡和非均衡态势 ,讨论了人民币汇率稳定运行态势后面的微观行为原因。分析发现 :1 .人民币汇率的非均衡是必然的和经常的 ,不能形成市场均衡汇率。在此背景下形成的现实汇率势必是扭曲的汇率 ,由此导致外汇资源的配置扭曲以及相应的真实资源配置扭曲。 2 .在汇率的稳定和调节机制上 ,当前汇率制度类似于“可调整的盯住汇率制” ,我国汇率制度因此具有固定汇率制的特征 ,但不具备固定汇率制的汇率稳定机制———稳定的汇率预期。 3 .现行汇率制度构成对汇率政策的严重制约 ,调节国际收支不得不倚重于直接管制政策的运用 ;货币政策丧失了独立性 ,加剧宏观经济的波动。这种低效率表明 ,我国当前汇率制度及其微观市场安排急待改革。     

Connectedness and systemic risk spillovers analysis of Chinese sectors based on tail risk network

This paper investigates the systemic risk spillovers and connectedness in the sectoral tail risk network of Chinese stock market, and explores the transmission mechanism of systemic risk spillovers by block models. Based on conditional value at risk (CoVaR) and single index model (SIM) quantile regression technique, we analyse the tail risk connectedness and find that during market crashes, stock market exposes to more systemic risk and more connectedness. Further, the orthogonal pulse function shows that Herfindahl-Hirschman Index (HHI) of edges has a significant positive effect on systemic risk, but the impact shows a certain lagging feature. Besides, the directional connectedness of sectors shows that systemic risk receivers and transmitters vary across time, and we adopt PageRank index to identify systemically important sector released by utilities and financial sectors. Finally, by block model we find that the tail risk network of Chinese sectors can be divided into four different spillover function blocks. The role of blocks and the spatial spillover transmission path between risk blocks are time-varying. Our results provide useful and positive implications for market participants and policy makers dealing with investment diversification and tracing the paths of risk shock transmission.     

DEMAND,CUSTOMER BASE‐LINE AND DEMAND RESPONSE IN THE ELECTRICITY MARKET: A SURVEY

The increasing use of demand‐side management, as a tool to reliably meet electricity demands at peak time, has stimulated interest among researchers, consumers and producer organiza‐tions, managers, regulators and policymakers. This research reviews the growing literature on models which are used to study demand, customer base‐line (CBL) and demand response in the electricity market. After characterizing the general demand models, the CBL, based on which the demand response models are studied, is reviewed. Given the experience gained from the review and existing conditions, the study combines an appropriate model for each case for a possible application to the electricity market; moreover, it discusses the implications of the results. In the literature, these aspects are studied independently. The main contribution of this survey is attributed to the treatment of the three issues as sequentially interdependent. The review is expected to enhance the understanding of the demand, CBL and demand response in the electricity market and their relationships. The objective is conducted through a combination of demand and supply side managements in order to reduce demand through different demand response programs during peak times. This enables electricity suppliers to save costly electricity generation and at the same time reduce energy vulnerability.