Non-linearity in the determinants of capital structure: evidence from UK firms

We demonstrate that, by exploiting more fully the distribution of leverage, conditional quantile regression methods yield new insights into the choice of leverage ratio. For UK listed companies we find that not only is the estimated effect of the explanatory variables different at different quantiles of the distribution, but also that the effect of a variable changes sign between low leveraged and high leveraged firms.      

Does the market care about investor protection practices in China?

This study develops a scorecard with which to measure the investor protection practices of major listed firms in China during 2007–2010. We use time-series data to examine the relationship between the change in firm investor protection practices and market performance. Our results show that firms exhibiting improvements in investor protection practices manifest a subsequent increase in buy-and-hold abnormal returns. The results further indicate that the changes in the sub-index have different effects on a firm’s future performance. Shareholder rights to be rewarded seem to have the most significant and positive effect on a firm’s future performance for both local and international investors. Moreover, international investors pay attention to their rights to information. Our results provide evidence in support of the notion that the market does care about firm’s investor protection practices. The findings are robust to other measures of firm performance.     

Investor sentiment and the prediction of stock returns: a quantile regression approach

We employ quantile regression to provide a detailed picture of the stock return forecasting ability of investor sentiment. We find that investor sentiment predicts aggregate stock returns at lower quantiles. However, the forecasting power is lost at upper quantiles. The results are robust after controlling for a comprehensive set of macroeconomic and financial predictors and for characteristic portfolios. We also show that investor sentiment consists mainly of cash flow news and contains little information about discount rate news. The ability to forecast cash flows increases gradually from the lower quantiles to upper quantiles. Our results do not support that the ability of investor sentiment to predict stock returns comes from a rational forecast of future cash flows.     

ARE COOPERATIVES MORE PRODUCTIVE THAN INVESTOR‐OWNED FIRMS? CROSS‐INDUSTRY EVIDENCE FROM PORTUGAL

We analyse empirically whether cooperatives and investor‐owned firms differ in terms of productive efficiency. Using rich Portuguese panel data covering a wide range of industries, we apply two different empirical approaches to estimate potential differences in productive efficiency. The results from our benchmark random‐effects model show that cooperatives are significantly less productive, on average, than investor‐owned firms, both at the aggregate level and for most of the industries considered. However, the results derived from a System‐GMM approach, which is our preferred empirical strategy, are much less conclusive, and we cannot conclude that cooperatives are generally less efficient that investor‐owned firms. With either approach, though, we find no evidence that cooperatives are more productive than investor‐owned firms in any industry.     

Into thin air: using a quantile regression approach to explore the relationship between R&D and innovation

Applying quantile regression to 760 Finnish firms, we show that the relationship between R&D and firm performance is less straight forward than so far assumed. OLS regression analysis fails to capture the effect of R&D expenditure at different locations on the performance distribution. We reveal that R&D matters, especially on the medium quantiles, while regressing against the upper quantiles of the economic gains from innovation distribution exhibit decreasing returns scale in R&D. Our results confirm that Gaussian statistics fail to capture the most interesting part of the distribution – namely the extreme observations located in the tails.     

软件信息业研发投入、研发费用加计扣除与企业绩效实证研发

选取上海、深圳证券市场软件信息业171家高新技术企业2012-2015年的相关数据,针对研发投入、研发费用加计扣除与企业绩效三者间的关系进行研究。结果表明,研发费用加计扣除与研发投入和企业绩效显著正相关,加计扣除政策实施效果较好,政府应给予企业更多的加计扣除优惠;根据面板数据模型估计结果,研发投入与企业绩效存在非线性关系,研发投入对当期绩效的抑制作用不明显,对滞后一期绩效有显著抑制作用,对滞后两期绩效正向作用不明显。研发投入经济效益回收存在一定的滞后性,根据分位数回归结果,处于50%分位点的企业研发投入对企业绩效的正向作用最大;分组回归结果显示,研发费用加计扣除优惠对研发投入与企业绩效的关系具有正向调节作用。     

Relationship between city size and firm productivity – A new interpretation using the Chinese experience

This paper contributes to the literature on the relationship between city size and firm productivity by focusing on agglomeration, selection (market competition), and sorting (presence of firms with diverse productivity) effects using Chinese firm-level data for 1998–2013. Contrary to the existing literature, our parametric regression estimates from nearly two million firms show that when the selection effect is controlled, productivity advantage in big cities is reversed. This outcome is explained through a quantile regression showing the existence of left-sided sorting (inefficient firms sort themselves to larger cities) in big cities which is not captured in existing empirical literature. We further find that (1) left-sided sorting is stronger in exporters than non-exporters; (2) is also generated mainly in enterprises with high asset-liability ratios; and (3) selection has a positive effect on firm productivity, suggesting that market competition is key in an explanation of the rapid growth of big cities in China.     

Economies of scale in Norwegian electricity distribution: a quantile regression approach

In this article, we investigate scale economies in Norwegian electricity distribution companies using a quantile regression approach. To the best of our knowledge, this is the first attempt to apply this estimation technique when analysing scale economies. We estimate the cost elasticities of the two output components: network length and number of customers, to calculate returns to scale. Our results show large potential of scale economies, particularly for the smallest companies. We also find that returns to scale is increasing over time. These findings have important implications for policymakers when they are deciding the structure of the industry in the future.     

Impact of patenting on firms' performance: an empirical investigation based on manufacturing firms in India

The study aims to estimate the impact of R&D expenditure and patenting on the performance of firms using productivity, profitability and Tobin's q ratio as the performance indicators. The study uses firm-level data of 489 high- and medium-technology firms during the period of 2000–2010. We employ relatively a new source of data particularly in the context of India, firm-level patent granted, that has not been explored earlier. The study finds that firms patenting result in productivity improvement of firms, whereas R&D expenditure does not. The study further finds the evidence of positive impact of patenting on financial performance of firm with significant differences between foreign and domestic firms.     

What role for human capital in the growth process: new evidence from endogenous latent factor panel quantile regressions

The estimates for the human capital effect in cross‐country growth regressions have been subject of considerable controversy. We argue that human capital is intrinsically a multidimensional construct. We construct human capital measure by combining available alternative proxies via confirmatory factor analysis. Using panel data endogenous quantile regression methods we analyse the whole conditional growth distribution by simultaneously accounting for the potential endogeneity of human capital and country‐specific effects. Our results conform to theoretical expectations and we are able to demonstrate the beneficial effect of both the measurement approach and the endogeneity correction on the derivation of theoretically consistent estimates.     

Intra‐firm trade,exporting, importing,and firm performance

Abstract This paper examines firm heterogeneity in terms of size, wages, capital intensity, and productivity between domestic and foreign‐owned firms that engage in intra‐firm trade, firms that export and import, firms that import only, and firms that export only. As previously documented, heterogeneity between different groups of trading firms is substantial. Taking into account intra‐firm trade in addition to exporting and importing yields new insights into the productivity advantage previously established for exporting firms. The results presented here show that this premium accrues only to exporters that also import and to exporters that also engage in intra‐firm trade, but not to firms that export only. Using simultaneous quantile regressions, the paper illustrates that heterogeneity within different groups of trading firm is equally large. Some of this within‐group heterogeneity can be attributed to differences in trading partners.     

Productivity and R&D sources: evidence for Catalan firms

This paper draws on a sample of innovative Catalan firms to identify how two main sources of innovation – internal R&D and external R&D acquisition – affect productivity in the manufacturing and service industries. The sample comprises 1612 innovative firms from the fourth European Community Innovation Survey (CIS-4) during the period 2002–2004. We compare empirical results when applying the usual OLS and quantile regression techniques controlling with a non-parametric sample selection. Our results indicate the different patterns that are attributable to the two sources of innovation as we move up from lower to higher conditional quantiles. First, the marginal effect of internal R&D on productivity decreased as we moved up to higher productivity levels. Second, the marginal effect of external R&D acquisition increased as we moved up to higher productivity levels. Finally, empirical results show significant complementarities between internal and external R&D, which are higher for knowledge-intensive service sectors.     

Stock return autocorrelations and predictability in the Chinese stock market—Evidence from threshold quantile autoregressive models

This paper applies the threshold quantile autoregressive model to study stock return autocorrelations and predictability in the Chinese stock market from 2005 to 2014. The results show that the Shanghai A-share stock index has significant negative autocorrelations in the lower regime and has significant positive autocorrelations in the higher regime. It attributes that Chinese investors overreact and underreact in two different states. These results are similar when we employ individual stocks. Besides, we investigate stock return autocorrelations by different stock characteristics, including liquidity, volatility, market to book ratio and investor sentiment. The results show autocorrelations are significantly large in the middle and higher regimes of market to book ratio and volatility. Psychological biases can result into return autocorrelations by using investor sentiment proxy since autocorrelations are significantly larger in the middle and higher regime of investor sentiment. The empirical results show that predictability exists in the Chinese stock market.     

Underpricing of Initial Public Offerings: The Case of Portugal

This paper analyzes the initial public offering (IPO) underpricing phenomenon in Portugal. We show that the ‘hot issue’ market of 1987, coinciding with a speculative bubble in the stock market, is well explained by investor sentiment theories and that the issuing firms seized a ‘window of opportunity’ provided by excessive demand to offer and list their shares. In IPOs prior to the 1987 crash, underpricing is very high while there is a strong reversion to fundamentals in the long run. In the period 1988–2004, we find lower IPO underpricing and overall no evidence of long-run underperformance of IPO firms. Bookbuilding IPOs are more underpriced than other price setting systems IPOs, and firms with seasoned public offerings show abnormal returns in the long run.

The Idiosyncratic Risk-Return Relation: A Quantile Regression Approach Based on the Prospect Theory

Given some debate on the empirical idiosyncratic risk-return relation in the literature, we reexamine the relation using a quantile regression approach based on the prospect theory developed by Kahneman and Tversky [1979]. The quantile regression approach allows the coefficient on the independent variable (idiosyncratic risk) to vary across the distribution of the dependent variable (return). Our sample consists of stocks traded on the NYSE, AMEX, and NASDAQ during 1980–2010: 80,324 firm-year observations and 8,123 firms in total. The quantile regression results show that idiosyncratic risk is positively (negatively) related to returns at the high (low) quantiles of returns. The findings are consistent with the prospect theory that investors have a tendency to be less (more) willing to gamble with profits (losses). The results also demonstrate that the least-squares and least-sum optimization methods commonly used in prior research do not capture the relations between idiosyncratic risk and returns at the tail parts of the distribution of returns. Therefore, our empirical results provide new insights into the idiosyncratic risk-return relation in the literature.     

SUNK COSTS OF CAPITAL AND THE FORM OF ENTERPRISE: INVESTOR‐OWNED FIRMS AND WORKER‐OWNED FIRMS*

ABSTRACT ** : This paper examines implications of sunk costs of capital for efficient forms of enterprise. It is assumed that firm owners and outside traders are asymmetrically informed of venture risks, and that there are sunk costs associated with investment in physical and human capital. We then make an efficiency comparison between investor‐owned and worker‐owned firms. We find that the firm is efficient when it is owned by the input supplier (the investor or worker) who incurs large sunk costs. This is because such an input supplier can credibly signal to the other input supplier that he in fact has a safe project. An empirical study based on the Japanese manufacturing industry seems to support the theoretical result.     

Volatility and VaR forecasting in the Madrid Stock Exchange

This paper provides an empirical study to assess the forecasting performance of a wide range of models for predicting volatility and VaR in the Madrid Stock Exchange. The models performance was measured by using different loss functions and criteria. The results show that FIAPARCH processes capture and forecast more accurately the dynamics of IBEX-35 returns volatility. It is also observed that assuming a heavy-tailed distribution does not improve models ability for predicting volatility. However, when the aim is forecasting VaR, we find evidence of that the Student’s t FIAPARCH outperforms the models it nests the lower the target quantile.      

Investor attention and stock market activity: Evidence from France

The aim of this paper is to study the influence of investor attention on the French stock market activity and volatility. Following an original way, we construct a non-standard proxy of investor attention on the basis of investors' online search behavior exclusively provided by “Google insights for search”. We find that Google search volume is a reliable proxy of investor attention. Interestingly, we show that investor attention is strongly correlated to trading volume and is a significant determinant of the stock market illiquidity and volatility. Most importantly, this evidence is maintained even after controlling for the financial crisis effect.     

投资选择权约束、意见分歧与中国股市风险

特定的股票总是被市场上特定的投资者群体持有 ,以反映该投资者群体对投资资产价格的评估意见。投资者意见的分歧会导致股票市场的资产出清价格偏离均值 ,股票价格趋于均衡的波动幅度也会变大。中国股市上投资者投资选择权的约束加大了投资者的意见分歧。扩大投资者的投资选择权来促进投资者意见分歧程度的缩小能有效降低中国股市的风险。     

Fiscal discipline and exchange rates: Does politics matter?

We look at the effect of exchange rate regimes on fiscal discipline, taking into account the effect of underlying political conditions. We present a model where strong politics (defined as policymakers facing longer political horizon and higher cohesion) are associated with better fiscal performance, but fixed exchange rates may revert this result and lead to less fiscal discipline. We confirm these hypotheses through regression analysis performed on a panel sample covering 79 countries from 1975 to 2012. Our empirical results also show that the positive effect of strong politics on fiscal discipline is not enough to counter the negative impact of being at/moving to fixed exchange rates. Our results are robust to a number of sensitivity checks, including the use of different estimators, alternative proxies for fiscal discipline and sub-sample analysis.