“一带一路”建设对要素配置效率的影响——基于中国上市工业企业的研究

本文借鉴Hsieh and Klenow(2009)的理论框架,采用2010—2018年中国上市工业企业数据,使用双重差分方法,考察“一带一路”建设对要素配置效率的影响。结果表明,从平均意义上看,“一带一路”建设显著改善了位于重点对接省份企业的劳动配置效率,但对资本配置效率的作用尚不明显。机制分析结果表明,“一带一路”建设主要通过深化重点对接省份的开放水平,尤其是促进它们的双向直接投资规模,改善劳动要素配置效率。进一步研究发现,要素流动表现出“劳动往高处走,资本往低处流”的特征,导致劳动和资本的配置效率出现“分野”:在重点对接“一带一路”的省份,劳动生产率高的企业配置了更多的劳动要素,劳动配置效率得以改善;但由于市场资源配置能力尚未得到充分释放,资本生产率高的企业在资本要素获取上还未体现出明显优势。     

“一带一路”倡议与公司债信用利差

本文以中国“一带一路”倡议的出台作为准自然实验,采用双重差分法考察国家倡议对微观企业债券信用利差的影响。研究发现:(1)相对于非支持企业,“一带一路”倡议实施能够显著降低支持企业的公司债二级市场信用利差,该结论在一系列稳健性检验之后仍然成立。(2)通过考察“一带一路”倡议的债券市场反应,我们发现相比于非支持企业,支持企业在倡议提出后有显著更高的债券累计超额回报率。(3)进一步检验后发现,“一带一路”倡议对公司债二级市场信用利差的降低作用主要通过资源效应和信息效应来实现。并且,政策影响范围主要集中在重点对接行业以及重点对接省份的企业。(4)“一带一路”倡议还对公司债一级市场的发行表现产生影响。具体表现为:在倡议实施之后,受倡议支持企业发行的公司债,其一级市场发行利差下降幅度更大,且包含的担保条款以及限制性契约条款显著更少。本研究探讨了“一带一路”倡议对公司债券市场的政策效应,对未来推进“一带一路”建设,提高资金融通效率具有参考意义。     

Volatility Spillovers of Stock Markets between China and the Countries along the Belt and Road

ABSTRACT

This article intensively studies the stock market volatility spillover effects between China and the countries along the Belt and Road (B&R) based on the covered selection of Morgan Stanley Capital International Inc (MSCI) index by using multiplicative error model to measure stock market volatility with daily price range. The results show that during the whole sample period, there are bilateral linkages of volatility between the stock markets of China and all of B&R countries. Most of B&R and China’s markets are sensitive to positive news but the asymmetry is trivial. Financial crisis intensified the volatility spillover effects across countries while the markets’ volatilities tend to be influenced by the negative shocks from foreign markets. The B&R markets as risk absorbers exhibit significant sensitivities to the negative news from Chinese market during the crisis period.     

How Does Infrastructure Construction Affect Economic Development along the “Belt and Road”: By Promoting Growth or Improving Distribution?

ABSTRACT

The “Belt and Road Initiative” has involved deepening infrastructure construction along the “Belt and Road”. Using data from countries who have joined the “Belt and Road”, this study examines how infrastructure construction has affected economic development along the route. Findings show that infrastructure construction can promote economic growth and per capita output growth while improving income distribution of residents along the “Belt and Road”. Results also indicate that the effect of infrastructure construction on economic development is heterogeneous; such construction can substantially increase economic growth in developing countries but has no significant effect on economic growth in developed and emerging developing countries. Infrastructure construction can greatly improve residents’ income distribution in developed and developing countries but has no significant effect on residents in emerging developing countries. Collectively, these findings identify foreign direct investment and urbanization as important channels through which infrastructure construction can influence economic development.     

“走出去”对企业融资约束的影响——基于“一带一路”倡议准自然实验的证据

本文基于“一带一路”倡议这一准自然实验,使用双重差分法,以中国2007-2017年A股上市企业为样本,实证检验了“走出去”对企业融资约束的影响。研究发现,参与“一带一路”倡议的企业与未参与的企业相比,融资约束水平有所上升。该效应对处于重点对接省份的参与企业可能更为明显。与国有企业相比,参与“一带一路”倡议的私人企业的融资约束有所上升,而且处在重点对接行业和省份的参与“一带一路”倡议的民营企业融资约束更有可能上升。从机制上看,由于观察周期尚短和其它因素的限制,企业参与“一带一路”倡议以后,其在信贷资源获取、利润率和生产率等方面还未体现出优势来。从政策来讲,为更好地支持国家的“一带一路”倡议,需要进一步拓宽思路对企业形成更有效的金融支持,以提高“一带一路”建设的可持续性。     

“走出去”对企业融资约束的影响——基于“一带一路”倡议准自然实验的证据

本文基于“一带一路”倡议这一准自然实验,使用双重差分法,以中国2007-2017年A股上市企业为样本,实证检验了“走出去”对企业融资约束的影响。研究发现,参与“一带一路”倡议的企业与未参与的企业相比,融资约束水平有所上升。该效应对处于重点对接省份的参与企业可能更为明显。与国有企业相比,参与“一带一路”倡议的私人企业的融资约束有所上升,而且处在重点对接行业和省份的参与“一带一路”倡议的民营企业融资约束更有可能上升。从机制上看,由于观察周期尚短和其它因素的限制,企业参与“一带一路”倡议以后,其在信贷资源获取、利润率和生产率等方面还未体现出优势来。从政策来讲,为更好地支持国家的“一带一路”倡议,需要进一步拓宽思路对企业形成更有效的金融支持,以提高“一带一路”建设的可持续性。     

The Influential Factors on Outward Foreign Direct Investment: Evidence from the “The Belt and Road”

ABSTRACT

In this article, we investigate the nonlinear impact on outward foreign direct investment (OFDI) using panel smooth transition regression (PSTR) model with the sample of 12 countries along “The Belt and Road Initiative” in the period of 2010–2015. We find that both overall economic freedom (EF), the interaction of EF and institutional instance, bilateral trade, GDP, and patent significantly influence OFDI. We also demonstrate that EF and economic development exert the inverted “U” effect on OFDI in the different regime. Accordingly, policies specifically designed to increase development of OFDI should be required to address the negative effects considering the differences of EF and economic development.     

Commodity and equity markets: Some stylized facts from a copula approach

In this paper, we propose to identify the dependence structure that exists between returns on equity and commodity futures and its development over the past 20 years. The key point is that we do not impose any dependence structure, but let the data select it. To do so, we model the dependence between commodity (metal, agriculture and energy) and stock markets using a flexible approach that allows us to investigate whether the co-movement is: (i) symmetrical and frequent, (ii) (a) symmetrical and mostly present during extreme events and (iii) asymmetrical and mostly present during extreme events. We also allow for this dependence to be time-varying from January 1990 to February 2012. Our analysis uncovers three major stylised facts. First, we find that the dependence between commodity and stock markets is time-varying, symmetrical and occurs most of the time (as opposed to mostly during extreme events). Second, not allowing for time-varying parameters in the dependence distribution generates a bias towards an evidence of tail dependence. Similarly, considering only tail dependence may lead to false evidence of asymmetry. Third, a growing co-movement between industrial metals and equity markets is identified as early as 2003; this co-movement spreads to all commodity classes and becomes unambiguously stronger with the global financial crisis after Fall 2008.     

Extreme Correlation of Stock and Bond Futures Markets: International Evidence

This study explores time‐varying extreme correlation of stock–bond futures markets in three major developed countries. In the United States and the United Kingdom, there is evidence of positive extreme stock–bond correlation when both futures markets are extremely bullish or bearish. In Germany, stock–bond futures extreme correlation is negative, suggesting the most diversification potentials of bond futures when German stock index futures market plunges. Macroeconomic news, the business cycle, and the stock market uncertainty all significantly affect the median stock–bond futures correlation. However, only the stock market uncertainty still significantly affects the extreme stock–bond futures correlation when the stock market is extremely bearish.     

Sources of Fluctuations in Islamic,U.S., EU,and Asia Equity Markets: The Roles of Economic Uncertainty,Interest Rates,and Stock Indexes

This article analyzes the economic and financial sources of fluctuations among the U.S. federal funds rates, the U.S. economic policy uncertainty, and the indices of the U.S., European, Asian, and Islamic stock markets. The impulse response analysis shows that the U.S. economic policy uncertainty shocks have significant and negative effects unanimously on the U.S., European, Asian, and Islamic stock markets. A contractionary monetary policy shock, in terms of a higher federal funds rate, has also a statistically significant and negative effect on all of the stock markets. The variance decomposition results indicate that the Islamic stock index is mainly affected by the U.S. stock index shock, thus negating its dichotomy hypothesis. The U.S. economic uncertainty shock explains an important portion of fluctuations for all four stock indices. The degree of synchronization between the EU stock market and other markets has weakened after the U.S. financial crisis.     

湖南与中国周边国家和地区经贸合作的对策--基于“一带一路”战略的思考

“一带一路”战略为各省市开展与周边国家和地区经贸合作提供了新的机遇。湖南作为中部省份,一直以来外贸依存度都比较低,新阶段亟需充分利用“一带一路”战略为湖南带来的新机遇,加强与中国周边国家和地区开展经贸合作,争取在经贸合作主体建设、经贸合作平台利用、经贸合作方式深化、经贸合作政策支持方面取得新的突破,为湖南打造成中部地区开放型经济的新高地提供支撑。     

极端风险事件下股票市场与公司债券市场的尾部风险溢出研究——基于MVMQ-CAViaR模型

构建MVMQ-CAViaR模型,结合金融市场内部极端风险事件和外部极端风险事件,考量股票市场与公司债券市场的尾部风险溢出问题。结果表明,在金融市场内部极端风险事件下,股灾期间仅存在股票市场对公司债券市场单向的尾部风险溢出。公司债券违约潮期间,股票市场与公司债券市场之间存在双向不对称的尾部风险溢出,且公司债券市场对股票市...     

经济政策不确定性、意见分歧与股价崩盘风险

基于中文媒体构建的中国经济政策不确定性指数,研究经济政策不确定性对股价崩盘风险的影响效果和机制。结果显示：经济政策不确定性的提高会显著加剧股价崩盘风险,这表明经济政策不确定性是崩盘风险的诱因之一。通过对影响机制检验发现,经济政策不确定性对股价崩盘风险的正向作用,随着投资者意见分歧的增加而加强。在宏观经济良好时期,非国有股权和规模较大的企业,经济政策不确定性并未明显加剧股价崩盘风险,甚至起到了缓解股价崩盘风险的作用。     

Internal conflict and Bank liquidity creation: Evidence from the belt and Road initiative

The Belt and Road Initiative is the most important international economic strategy in the 21st Century initiated by China. In this paper, we conduct the first international study on the effects of the host country’s internal conflict risk of the Belt and Road Initiative on bank liquidity creation, one of the key functions banks provide for the public. We find that the host country’s internal conflict risk negatively affects bank liquidity creation. The results are also economically significant and robust to subsample tests. It also indicates that Chinese firms that will conduct foreign investments in the countries of the Belt and Road Initiative should take the host country’s internal conflict risk into account.     

Stock–bond dependence and flight to/from quality

This paper investigates the stock–bond dependence structure using a dependence-switching copula model. The model allows stock–bond dependence to switch between positive dependence regimes (contagions or crashes of the two markets during downturns or booms in both markets during upturns) and negative dependence regimes (flight-to-quality from stock markets to bond markets or flight-from-quality from bond markets to stock markets). Using data from four developed markets including the US, Canada, Germany, and France for the period between January 1985 and August 2022, we find that the within-country stock–bond (extreme) dependence could be both positive and negative. In the positive dependence regimes, the stock–bond dependence is asymmetric with stronger left tail dependence than the right tail dependence, giving evidence of a higher likelihood of joint stock–bond market crashes or contagions during market downturns than the collective stock–bond market booms. Under the negative dependence regimes, we find both flight-from-quality and flight-to-quality, with flight-to-quality being more dominant in the North American markets while flight-from-quality is more prominent in the European markets. Further, the dependence switches between positive and negative regimes over time. Moreover, the dependence is mainly in the positive regimes before 2000 while mostly in the negative regimes after that, indicating contagions mostly before 2000 and flights afterwards. Further, the dependence switches between positive and negative regimes around financial crises and the COVID-19 pandemic. These results greatly enrich the findings in the existing literature on the co-movements of stock–bond markets and are important for risk management and asset pricing.     

“好”的不确定性、“坏”的不确定性与股票市场定价——基于中国股市高频数据分析

不确定性并不是都是“坏”的,“好”的不确定性也同样存在。本文采用Barndorff-Nielsen et al.(2010)提出的已实现半方差作为股票市场“好”的不确定性和“坏”的不确定性的代理指标,并在此基础上构建了相对符号变差(RSV),分析RSV对中国股市定价的影响。基于2007-2017年中国A股5分钟高频数据的实证研究发现:(1)与理论解释相一致,RSV与股票收益之间呈现负相关关系。无论是基于单变量分组、双变量分组还是公司层面的截面回归,这种影响在经济上和统计上都显著。(2)RSV是独立于已实现偏度的一个重要定价因子,且RSV对股票的定价能力强于已实现偏度的定价能力。(3)RSV对中国股市的影响是状态依存的,相对于经济景气程度高的状态,在经济景气程度低的状态下RSV定价影响更大。(4)基于RSV构建的投资组合的表现明显优于市场超额收益率组合、SMB组合和HML组合的表现。     

Hedges or safe havens—revisit the role of gold and USD against stock: a multivariate extended skew-t copula approach

Our paper concerns the question of whether there exist hedge assets during extreme market conditions, which has become increasingly important since the recent financial crisis. This paper develops a novel extended skew-t copula model to examine the effectiveness of gold and US dollar (USD) as hedge or safe haven asset against stock prices for seven developed markets over the 2000–2013 period. Our results indicate the existence of skewness and heavy/thin tails in the distributions of all three types of assets in most of the developed markets, lending support to the employment of flexible distributions to evaluate the tail dependences among assets. We find that USD is preferred to gold as a hedge asset during normal market conditions, while both assets can serve as safe haven assets for most countries when stock markets crash. Our simultaneous analysis of the three assets advises against a joint hedge strategy of gold and USD due to the high tail dependence between them during extreme market conditions. This result highlights the importance of simultaneous modelling of multiple assets in financial risk analysis.     

Stock market reactions to monetary policy surprises under uncertainty

This article investigates how uncertainty impacts the effect of monetary policy surprises on stock returns. Using high-frequency US data, we demonstrate that stock markets respond more aggressively to monetary policy surprises during periods of high uncertainty. We also show that uncertainty asymmetrically influences the transmission of positive and negative monetary policy surprises to stock market prices. The amplifying effect of uncertainty is found to be stronger for expansionary shocks than for contractionary shocks. Our robustness analysis confirms that financial uncertainty has a significant role in shaping the influence of monetary policy on the stock market.     

Spreading the fear: The central role of CBOE VIX in global stock market uncertainty

Construction of efficient portfolios is reliant on understanding the correlation between assets. If correlations change markedly during times of economic turmoil then investors are exposed to greater risk at the most inopportune time. We examine the linkages between global stock markets using measures of market uncertainty (implied volatility). Using a sample of daily changes in G7 and BRIC implied volatility measures, over a 20-year sample period, we demonstrate that uncertainty in U.S. markets plays a pivotal role in global stock market uncertainty. “Fear is spread” across markets, as heightened uncertainty in U.S. markets is transmitted across global markets. Conversely, changes in global market uncertainty do not explain changes in U.S. market uncertainty. While there is a clear increase in connectedness during crisis periods, we observe a disparity in the way that inter-dependencies change during the two major economic crises in our sample period; the GFC (2007–2009) and COVID-pandemic (2020). The additional importance of US news largely drives our results during the GFC, while the effect is spread among several countries (particularly within European markets) during COVID.     

Economic determinants of evolution in international stock market integration

This study investigates how and why different pairs of national equity markets display differing degrees of co-movement over time. We interpret a greater degree of co-movement to reflect greater stock market integration. We hypothesize the extent of stock market integration may depend upon certain macroeconomic variables that characterize and influence the degree of economic integration between two countries. As the degree of economic integration varies over time for a given pair of countries, we may expect the extent of equity market integration to vary systematically. We empirically investigate this hypothesis by employing a two-step procedure to explore first, how the degree of co-movement for a given pair of markets varies over time and second, why this interdependence varies over time. First, we employ daily data for nine national equity markets over 22 yearly samples to estimate annual Geweke [J. Am. Statist. Assoc. 77 (1982) 304–313] measures of feedback for different pairs of markets. For each pair of markets, the time series of 22 annual Geweke measures reveals the evolution in how co-movement in daily returns varies over time. Second, we specify a set of macroeconomic variables that characterize and influence the degree of economic integration for each pair of countries. Finally, we incorporate these variables in a pooled time series regression model across all possible pairs of these nine markets to estimate the influence of macroeconomic determinants on evolution in stock market integration.