Effects of Firm Size,Financial Leverage and R&D Expenditures on Firm Earnings: An Analysis Using Quantile Regression Approach

As documented in the literature, the effects of firm size, financial leverage, and R&D expenditures on firm earnings are inclusive. Our hypothesis is that the inconsistent empirical results of such effects may be driven by the regression models implemented in data analysis. Using the quantile regression (QR) approach developed by Koenker and Basset (1978), this study analyses S&P 500 firms from 1996 to 2005. We find that the effects of firm size, financial leverage and R&D expenditures on firm earnings differ considerably across earnings quantiles. Comparing the results from the QR approach with those from the ordinary least squares (OLS) and least absolute deviation (LAD) methods, this study further explains the puzzling relationship between firm size, financial leverage, R&D expenditures and firm earnings.     

制造业竞争力比较研究——基于浙江地区与国内外制造业的分析比较

制造业竞争力对于区域经济发展具有至关重要的支撑作用。通过建立MCI制造业竞争力指数模型量化比较发现，随着劳动力成本等要素制约加剧，浙江制造业竞争力和竞争优势近年来大幅弱化。加快实现创造驱动、人才驱动、技术驱动、改革驱动“四轮驱动”，加速提高劳动生产率，推进产业转型升级，提升产业核心竞争力，打造经济升级版，从而实现长期可持续增长，是今后很长一段时期内浙江经济的重大课题。     

Measuring systemic risk-adjusted liquidity (SRL)—A model approach

Little progress has been made so far in addressing—in a comprehensive way—the negative externalities caused by excessive maturity transformation and the implications for effective liquidity regulation of banks. The SRL model combines option pricing theory with market information and balance sheet data to generate probabilistic measure of systemic liquidity risk. It enhances price-based liquidity regulation by linking a bank’s maturity mismatch impacting the stability of its funding with those characteristics of other banks, subject to individual changes in risk profiles and common changes in market conditions impacting funding and market liquidity risk. This approach can then be used (i) to quantify an individual institution’s time-varying contribution to expected losses from system-wide liquidity shortfalls and (ii) to price insurance premia that provide incentives for banks to internalize the social cost of their individual funding decisions.     

Macro-Networks: An application to euro area financial accounts

This paper develops a financial network, designated the “Macro-Network”, that depicts the connections between the main financial and non-financial sectors of the economy in the various financial instruments of the euro area. The Macro-Network comprises of linkages across financial and non-financial sectors in each country. These country-level sector networks are then connected by the cross-border links between the individual banking sectors. Using the Macro-Network to simulate financial shocks, we find that the propagation effects depend on the underlying network structure, which evolves over time. After the financial crisis, bilateral linkages contracted sharply, reflecting the surge in counterparty risk and the de-leveraging processes. Nonetheless, our analysis suggests that even after this process, vulnerabilities remained in the euro area financial system, while a more diversified portfolio of cross-border exposures might mitigate the shock effects. We identify sectors which are most relevant for the propagation of financial shocks in the Macro-Network.     

The impact of the French Tobin tax

We analyze the impact of the introduction of the French Tobin tax on the turnover and measures of the liquidity and volatility of the affected stocks with nonparametric tests on individual stocks, difference-in-difference tests and other robustness checks controlling for simultaneous month-of-the-year and size effects. Our findings indicate that the tax produces a significant reduction in turnover and volatility (measured in terms of stock price volatility and the high–low price range) and inconclusive effects on liquidity when the latter is evaluated under the two dimensions of the estimated bid–ask spread and the Amihud (2002) price impact ratio.     

Impact of short selling activity on market dynamics: Evidence from an emerging market

With unique daily short sale data of Borsa Istanbul (stock exchange of Turkey), we investigate the dynamic relationship between short selling activity and volatility, liquidity and market return from January 2005 to December 2012 using a VAR(p)-cDCC-FIEGARCH(1,d,1) approach. Our findings suggest that short sellers are contrarian traders and contribute to efficient stock market in Turkey. We also show that increased short selling activity is associated with higher liquidity and decreased volatility. However this relation weakens during the financial turmoil of 2008. Our results indicate that any ban on short sales may be detrimental for financial stability and market quality in Turkey.     

基于熵权TOPSIS法的在线旅游企业竞争力实证分析

在线旅游企业竞争力分析顺应了旅游企业发展的客观需要、顺应了互联网与旅游相结合的时代要求、顺应了当前国家大力支持旅游业发展的整体趋势。运用熵权TOPSIS法对在线旅游企业的竞争力进行实证分析，更具客观性、系统性、科学性、权威性。提升在线旅游企业的竞争力需要综合考虑企业的规模、企业的经营业绩、企业的服务能力以及企业的创新能力。     

金融衍生产品对上市公司风险管理影响实证研究

论文选取有色金属矿产行业以及能源交通运输行业229家上市公司作为样本，以上市公司是否使用衍生产品为解释变量，同时引用一系列控制变量，通过实证分析上市公司使用衍生产品是否会有效降低公司风险。实证过程涉及参数检验、非参数检验、相关性分析和回归分析，实证结果显示我国上市公司使用衍生产品会降低公司风险，这与西方主流的财务管理理论相一致而与我国学者以前的研究相反，由此推测我国上市公司运用衍生产品的能力逐渐娴熟。     

DETERMINANTS OF SOVEREIGN BONDS RATINGS: A ROBUSTNESS ANALYSIS

Several studies have attempted to deduce the determinants of sovereign bond ratings. In this study, Extreme Bounds Analysis is applied to approximately 30 factors proposed by the literature in order to assess their robustness with a focus on the relative importance that economic and political variables receive in the shaping of the ratings. We find that policies that constrain the public sector are among the most robust. Variables such as rule of law, openness to economic flows, central bank independence, and market friendly policies are found to be more robustly correlated with the ratings than foreign reserves, fiscal deficit, sovereign bond yields, and economic growth.     

Sources of business fluctuations: Financial or technology shocks?

Despite the widespread belief that technology shocks are the main source of business fluctuations, recent empirical studies indicate that in the absence of financial frictions, a shock to the marginal efficiency of investment is the main source and is closely related to financial conditions for investment. We incorporate a financial accelerator mechanism and two types of financial shocks to the external finance premium and net worth in a dynamic stochastic general equilibrium model with shocks to the marginal efficiency of investment, the investment-good price markup, and the rates of neutral and investment-specific technological changes. This model is estimated using eleven US time series that include data on loan, net worth, the loan rate, and the relative price of investment. Our estimation results show that the (non-stationary) neutral and investment-specific technology shocks primarily drive output and investment fluctuations, while the external finance premium shock plays an important role for investment fluctuations. This financial shock induced substantial falls and subsequent sharp hikes in the external finance premium and caused boom–bust cycles over the past two decades.