Forecasting the volatility of asset returns: The informational gains from option prices

A new class of forecasting models is proposed that extends the realized GARCH class of models through the inclusion of option prices to forecast the variance of asset returns. The VIX is used to approximate option prices, resulting in a set of cross-equation restrictions on the model’s parameters. The full model is characterized by a nonlinear system of three equations containing asset returns, the realized variance, and the VIX, with estimation of the parameters based on maximum likelihood methods. The forecasting properties of the new class of forecasting models, as well as a number of special cases, are investigated and applied to forecasting the daily S&P500 index realized variance using intra-day and daily data from September 2001 to November 2017. The forecasting results provide strong support for including the realized variance and the VIX to improve variance forecasts, with linear conditional variance models performing well for short-term one-day-ahead forecasts, whereas log-linear conditional variance models tend to perform better for intermediate five-day-ahead forecasts.     

The Impact of the 2008 Crisis on UK Prices: What We Can Learn from the CPI Microdata1

This paper takes the locally collected price quotes used to construct the CPI index in the UK for the period 1996–2013 and explores the impact of the Great Recession (2008‐9) on the pricing behaviour of firms. We develop a time series framework which captures the link between macroeconomic variables and the behaviour of prices in terms of the frequency of price change, the dispersion of price levels and the size, dispersion and kurtosis of price‐growth. We find strong evidence for inflation having an effect, but not output. The change in the behaviour of prices during the Great Recession is largely explained by the changes in inflation and VAT. Nevertheless, the magnitude of the inflation effect is sufficiently small that it need not influence monetary policy.     

我国农作物秸秆综合利用产业促进政策研究

［目的］深入地分析了我国秸秆综合利用产业现行促进政策，阐述了存在的主要问题，并提出针对性解决方法，以期为促进秸秆综合利用政策体系建设提供政策建议。［方法］按照法律法规、目标引导和考核、财税补贴、技术研发和推广、信息统计等进行分类，综合评述各类现行政策的特点、使用范围和有效性，并采用相关者利益分析等方法分析存在问题，提出政策建议。［结果］随着我国秸秆露天焚烧问题日益突出，国家加大了对秸秆综合利用重视的程度，出台一系列关于秸秆综合利用等方面的法律、法规和激励政策等，初步构建了秸秆综合利用政策体系，呈现出聚焦关键环节、关键技术和重点地区的趋势。但是，还存在着政策的有效性有限，未形成合力； 农民参与度低； 使用环节缺乏激励政策等问题。［结论］建议出台区域生态补偿制度，落实耕地地力保护补贴政策，鼓励终端产品使用和消费等政策。     

金融服务开放与制造业企业出口产品质量:影响机制与经验证据

文章从理论上分析了金融服务开放影响制造业企业出口产品质量提升的动态演变过程，并利用2004-2013年中国金融服务进出口和中国工业企业数据对理论推演进行验证。结果表明：金融服务开放显著促进了制造业出口产品质量升级，且金融服务引进来对制造业企业出口产品质量提升的作用略大于金融服务走出去所产生的作用；从不同贸易方式、不同衡量指标、不同企业所有制等方面对此进行检验均证实了金融服务开放对制造业出口产品质量升级的正向作用；影响机制检验和扩展分析显示，创新效应、金融服务"引进来"对"走出去"的推动、垂直专业化效应和本地吸收效应影响着金融开放对企业出口产品质量升级的作用。文章的研究发现有助于为进一步扩大金融服务开放来推动制造业高质量发展提供有价值的政策依据。     

美欧货币政策框架的最新转变与政策启示

货币政策框架是制定和实施货币政策的基本准则,体现了货币当局对宏观经济运行和货币政策传导机制的根本性看法.2020年8月和2021年7月,美联储和欧央行等主要发达经济体相继调整货币政策框架,这将对全球其他国家的货币政策产生深远影响.本文梳理了美联储和欧央行货币政策框架的最新变化,并分析了两者异同.建议我国借鉴其有益经验,从兼具相对规则性和相机抉择性方面完善货币政策框架,加大货币政策对经济增长、物价稳定和充分就业的支持力度,重视维护正常货币政策空间,加大对潜在非常规货币政策工具的研究.     

Cross-national differences in stakeholder management: Applying institutional theory and comparative capitalism framework

Drawing upon the research in institutional theory and comparative capitalism, the present study investigates how cross-national differences in the political, business, and economic institutional contexts of the United States, Italy, and Japan are associated with the ways in which companies in each of these countries prioritize and engage in their stakeholder engagement activities (SEAs). Using Porter and Kramer's framework, which classifies corporate social responsibility (CSR) activities as falling into four categories (good citizenship, mitigating harm from value chain, transforming value chain activities, and strategic philanthropy), we investigate how companies in the United States, Japan, and Italy prioritize and engage in these four SEAs. An analysis of data collected from 340 companies across these countries reveals that while companies in each of these three countries undertake the four types of SEAs, the prioritization and prevalence of the four types of SEAs vary from one country to the other, in ways that align with the prevailing institutional contexts of each country. The results contribute to a more nuanced understanding of why and how companies' approaches to CSR differ across countries. From a practitioner's perspective, the findings highlight the cultural specificity of CSR, implying that despite the global nature of CSR, the implementation of CSR needs to be tailored to a country's context.     

Do significant risk warnings in annual reports increase corporate bond credit spreads? Evidence from China

Based on listed companies issuing bonds on the Shanghai and Shenzhen Stock Exchanges from 2007 to 2017, this study analyzes the relationship between significant risk warnings in Chinese companies’ annual reports and corporate bond credit spreads. The main findings are as follows. First, in the Chinese market, “substantial warnings of significant risks” can significantly improve corporate bond credit spreads, reflecting the risk-warning effect; second, state-owned property rights weaken this effect, which only pertains to listed companies with poor risk management and low information quality; third, significant risk warnings increase investors’ heterogeneous beliefs, also affecting credit spreads; and fourth, through textual analysis, it is found that the corporate bond credit spread is greater when the disclosed risk factors are more pessimistic and less similar to those of the previous year. The findings of this paper help to enrich the literature on credit spreads and risk disclosure.     

山高皇帝远:地理距离与上市公司股价崩盘风险的经验证据

鉴于信息不对称程度、制度实施成本和心理文化差异，文章提出"监管距离"假说，认为监管者和被监管者之间距离远近可以影响监管效果。实证分析中国沪深上市公司数据，文章从非对称风险视角出发，研讨了上市公司注册地距所在地中国证监会派出机构的地理距离对公司层面的股价崩盘风险的影响。我们发现，监管机构与上市公司总部的地理距离越远，该上市公司股价的崩盘风险越大。进一步分析发现，如果开通高铁或者上市公司所在地社会信任水平足够高，那么监管距离和崩盘风险的正相关关系是不显著的；如果监管负担严重或政府效率低下，那么监管距离和崩盘风险之间正相关关系更为显著。文章认为，地理距离具有监管信息效应、监管威慑效应和监管执行效应，能够影响股价崩盘风险。也就是说，"山高皇帝远"可以改变上市公司行为，提高金融监管效率不应忽视非正式制度的影响。     

The influencing factors of satisfaction and lending intention in online lending investment: an empirical study based on the Chinese market

This paper develops a platform‐based influencing factors model which considers value perception, risk prevention measure, non‐default experience, trust and incentive gap, to better examine the impact of platforms on investors’ satisfaction and lending intention based on the Chinese market. The results reveal that the first four factors positively influence the satisfaction of the investors, while the incentive gap has a negative impact, and there is a positive association between investors’ satisfaction and lending intention. Some specific features of China’s online lending market are identified, which provides valuable insights for online lending platforms and the government.     

Neither an Authentic Product nor a Counterfeit: The Growing Popularity of Shanzhai Products in Global Markets

Counterfeits have been a longstanding concern to global brand manufactures. However, recently, a new product category that partly imitates and partly innovates under the term shanzhai has entered into market. Shanzhai products mimic original leading brands through visual or functional similarities and may also provide additional features. Given this new copycat phenomenon, our study for the first time conceptually distinguishes shanzhai products from counterfeits, theoretically compares the values of consumers choosing shanzhai products versus counterfeits, and empirically tests such differences in one integrative model. Specifically, shanzhai buyers value product functional benefits more than counterfeit buyers, while counterfeit buyers value status consumption, yet experience less self‐clarity than shanzhai buyers. Our findings offer important implications for imitative innovation literature as well as for practitioners.