Do stock market returns predict changes to output? Evidence from a nonlinear panel data model

Recent empirical work suggests a predictive relationship between stock returns and output growth. We employ quarterly data from a panel of 27 countries to test whether stock returns as useful in predicting growth. Unlike previous research, our approach allows for the possible non-linear effect of recessions on the growth-return relationship. There is strong evidence to suggest that a linear model would be misspecified and provide potentially misleading inference. Using a switching regression approach, we find evidence that returns are most useful in predicting growth when the economy is in recession.First version received: November 2002/Final version received: April 2003This paper benefited greatly from discussions with Kalvinder Shields, Mark Harris, Pete Summers, and Vance Martin. Two anonymous referees provided useful comments on an earlier version of the paper for which we are grateful. The usual disclaimer applies to any errors and omissions. Funding from The University of Melbourne greatly assisted in the completion of this paper.     

Does investor sentiment dynamically impact stock returns from different investor horizons? Evidence from the US stock market using a multi-scale method

This article uses the investor sentiment index to investigate the Granger causality between investor sentiment and stock returns for the US economy using a multi-scale method. To focus on the local analysis of different investor horizons, bivariate empirical mode decomposition is used to decompose time series of investor sentiment and stock returns at different timescales. We employ the linear and nonlinear integrated Granger causality method to examine the causal relationship of decomposed series on similar timescales. The results indicate both strong bilateral linear and nonlinear causality between longer-term investor sentiment and stock returns. However, there is no strong evidence for correlation of stock returns and investor sentiment on shorter timescales.     

How does economic policy uncertainty drive gold–stock correlations? Evidence from the UK

In this article, we investigate the effects of economic policy uncertainty (EPU) on correlations between the UK stock market and gold market. We find that less certain economic policies result in lower correlations, while more certain economic policies result in higher correlations. The correlations are symmetric and show no structural breaks caused by the recent financial crisis. The recent financial crisis has not changed EPU effects on the correlations. The effects of one positive one-standard-deviation shock of the logarithmic change rate of the EPU on the correlations last approximately 19 months.     

How stock markets react to regulatory sanctions? Evidence from France

Our study of how the stock market reacts to sanction announcements by the French financial regulator from 2004 to 2017 finds that the market reacts negatively when a sanction is announced in the press. Cross-sectional regression models show that the penalties are too low to influence market reactions. Our results suggest that after the financial crisis of 2008, a plethora of news on financial wrongdoings has desensitized markets to announcements of sanctions against large companies.     

Does reference point matter in the leverage–return relationship? Evidence from the US stock market

The leverage–return relationship is supported by inconclusive empirical evidence in terms of its sign and significance. In this study, we argue that such a puzzling relationship can be understood by extending the traditional theoretical framework in a way that captures the reference dependence characteristics of prospect theory. We postulate that a firm’s leverage position relative to its reference point (i.e. target leverage) combined with market conditions places firms in either a gain or a loss domain, thereby resulting in different leverage–return relationships. Leverage and expected equity returns generally exhibit positive and negative relationships in gain and loss domains, respectively. Three hypotheses are derived and tested using 1998–2013 empirical data from the US stock market. This article contributes to the existing literature by confirming the applicability of prospect theory in explaining expected returns in the stock market.     

How does leverage in stock market influence the margin of stock index futures?

In this article, we propose a margin-setting model under the assumption of extreme stock price changes. Specifically, extreme stock price changes are caused by the positive feedback effect of leverage and market impact. By introducing these factors into the futures price changes through a cost-of-carry model for setting the margin of stock index futures, we find that leverage and market impact in stock market are positively correlated with the margin.     

Did bubbles migrate from the stock to the housing market in China between 2005 and 2010?

The speculative nature of both stock and housing markets in China has attracted the attention of observers. However, while stock market data are easily available, the low frequency and low quality of publicly available housing price data hampers the study of the relationship between the two markets. We use original hedonic weekly resale housing prices of a major Chinese housing market and study them in conjunction with Shanghai's stock market index in the second half of the 2000s. The use of the Phillips et al. (2015 a,b) recursive explosive‐root test enables us to detect and date speculative episodes in both markets. We then implement the Greenaway‐McGrevy and Phillips (2016) methodology to detect the presence of migration between the two types of bubbles. We detect significant migration from the stock to the housing market bubble in 2009 and a temporary spillover in 2007.     

How important is the stock market wealth effect on consumption in India?

We examine how shocks emanating from changes in the stock wealth affect the consumption demand in India using a Bayesian VAR framework. The effect of the stock market wealth shock on consumption demand in India is relatively small in magnitude. The estimates suggest that a 10% increase in the real stock wealth raises the consumption demand by 0.3%, which seems to be consistent with some empirical estimates for the emerging market economies given a relatively low share of stock wealth in the household asset portfolio and its asymmetric distribution. The stock market wealth effect being short run in nature does not have a large and persistent effect on consumption demand since consumers may not perceive the changes in the stock wealth to cause a permanent shift in their wealth.     

Does corporate governance play an important role in BHC performance? Evidence from the U.S.

This study explores the relationship between the operating performance and corporate governance of bank holding companies (BHCs) in the U.S. The modified data envelopment analysis (DEA) is utilized to integrate the five rating indicators of CAMEL (Capital Adequacy, Asset Quality, Management, Earnings, and Liquidity) so as to estimate the BHCs' performance. This study also employs the modified tiered DEA to categorize 68 BHCs into three Tiers. Additionally, the truncated-regression is employed to discuss whether or not the corporate governance would affect the performance of BHCs. The empirical results present the trade-off relationship with CAMEL indicators in the Tier1—Efficient BHCs. Moreover, it has been found that there are negative impacts on BHC's performance from board size, outside directors, the average age of directors and CEO/Chairman duality, while there are positive impacts from the number of committee and Big-4 auditors. The results further prove that corporate governance is important for the operating performance of BHCs.     

How is the worker’s weekly hour related to wage over the life cycle? The U.S. evidence

The current study estimates the relationship between weekly hours and weekly wage over the life cycle of a representative sample of workers. Recognizing the endogeneity of these two variables, the study estimates both equations in a simultaneous equations framework and demonstrates that the relationship between weekly hours and weekly wage is not uniform over the worker’s life cycle. These two variables are negatively related when the workers are young and have a positive relationship when they are matured adults. This conclusion remains valid for both men and women. Our robustness check further confirms that workers respond to wage increases differently at different stages of their working career. This has interesting policy implications. Any policy to influence the worker’s hours decision through wage incentive must consider the stage of his/her working career.     

Does asymmetric information matter in the early insurance market? Evidence from the auto insurance market

In the late 1960s, the performance of automobile insurance declined dramatically in Japan in spite of rapid growth in the diffusion rate, and the premiums were sharply raised several times in order to improve the situation. This observation indicates the possible presence of adverse selection (death spiral), and provides an ideal situation for assessing informational asymmetry. Using bodily injury liability (BIL) insurance data from 46 Japanese prefectures over the period 1966 to 1975, this article tests two hypotheses of adverse selection: (i) high-risk drivers were more likely to join the BIL insurance market and (ii) sharp premium increases drove low-risk policyholders away. Various empirical analyses show that there is little evidence for either type of adverse selection. We also test whether a risk-misperception hypothesis can explain our results, and find some evidence that the population density have a significantly positive impact on the demand for BIL insurance.     

How to Increase R&D in Transition Economies? Evidence from Slovenia

The recent initiative of the European Union Lisbon Agenda to increase levels of R&D investment is addressed by studying the determinants of R&D investment in one of the recent EU entrants, Slovenia. Previous empirical literature—mainly cross‐sectional in nature—has tested the demand–pull hypothesis and found that overall R&D expenses may be driven by output demand. We use a panel of more than 150 of the largest Slovene firms over the period 1996–2000, modeling firms' R&D behavior within an error‐correction framework and estimating it in a system GMM specification. While we find that sales have a significant role in inducing R&D expenditures, we also show that the availability of internal funds and wage bargaining represent important factors determining R&D expenses. Moreover, firms owned by insiders (workers and/or managers) and/or firms with dispersed ownership (small shareholders) display higher R&D investments than firms owned by privatization investment funds or by other firms.     

How effective are level-based R&D tax credits? Evidence from the Netherlands

This article examines the impact of the R&D fiscal incentive programme on R&D by Dutch firms. Taking a factor demand approach, we measure the elasticity of firm R&D capital accumulation to its user cost. Econometric models are estimated using a rich unbalanced panel of firm data covering the period 1996 to 2004 with firm specific R&D user costs varying with tax incentives. Using the estimated user cost elasticity, we perform a cost–benefit analysis of the R&D incentive programme. We find some evidence of additionality suggesting that the level based programme of R&D incentives in the Netherlands is effective in stimulating firms’ investment in R&D. However, the hypothesis of crowding out can be rejected only for small firms. The analysis also indicates that the level based nature of the fiscal incentive scheme leads to a substantial social deadweight loss.     

Can interest rate changes help predict future stock price movements? Evidence from the German market

By applying a linear regression model to monthly time series data from the German equity and money markets, this paper challenges the conventional viewpoint that historical data do not possess any explanatory power for future stock market returns.     

Do migrant and business networks promote international royalty receipts? Evidence from the U.S.

This study examines how migration and business networks affect the trade in intellectual property using bilateral data on the U.S. and OECD member countries. The analyses are distinct in that they comprehensively examine network effects by combining previous works on tangible trade–migration relationships together with the literature on trade–FDI relationships. We show that intellectual property exports are positively related to the number of immigrants residing in the U.S. and the U.S. direct investment stocks in trading partners. However, they do not have any relationships with U.S. emigrants and FDI inflows to the U.S. The result suggests that network effects vary depending on the direction of cross-border factor movements.     

Is the stock market sticker shocked? A study of market response to recent CAFE regulations in the US

In response to increasing environmental concerns, to improve energy security and to conserve energy use, the US government has proposed a new round of Corporate Average Fuel Economy (CAFE) standards. Many studies have focused on how the CAFE standard can be met by various automakers that have sales in the US market, and the costs and benefits of the companies meeting the standard. However, the stock markets’ view on the impact of the standard on automakers’ profitability is largely absent. We study the more recent episode of the CAFE regulation in an effort to try to detect the market response using the standard event study method. Our empirical findings suggest that while the stock market had some responses to the regulation, the large-scale and systematic reaction to the regulation is absent. In addition, the market response pattern to the regulation appears to be tied to the individual company’s compliance condition if there is any significant response at all.     

International stock return predictability: Is the role of U.S. time-varying?

This study investigates the predictability of 11 industrialized stock returns with emphasis on the role of U.S. returns. Using monthly data spanning 1980:2–2014:12, we show that there exist multiple structural breaks and nonlinearities in the data. Therefore, we employ methods that are capable of accounting for these and at the same time date stamping the periods of causal relationship between the U.S. returns and those of the other countries. First we implement a subsample analysis which relies on the set of models, data set and sample range as in Rapach et al. (J Finance LXVIII(4):1633–1662, 2013). Our results show that while the U.S. returns played a strong predictive role based on the OLS pairwise Granger causality predictive regression and news-diffusion models, its role based on the adaptive elastic net model is weak. Second, we implement our preferred model: a bootstrap rolling window approach using our newly updated data on stock returns for each countries, and find that U.S. stock return has significant predictive ability for all the countries at certain sub-periods. Given these results, it would be misleading to rely on results based on constant-parameter linear models that assume that the relationship between the U.S. returns and those of other industrialized countries are permanent, since the relationship is, in fact, time-varying, and holds only at specific periods.     

How pervasive is the effect of culture on stock market linkages? Evidence across regions and economic cycles

We conduct a comprehensive study on the effect of culture on stock market linkages. With data on 25 national stock markets, a quantile regression model is used to estimate the determinants of market linkages using culture variable/s such as language, religion and Hofstede’s cultural dimensions while controlling for distance, economic and legal variables. Further, we test whether these effects hold across regions and if changes are detected during periods of market crisis. We also test if market liquidity, an indicator of market efficiency, diminishes the impact of culture on market linkages. The main conclusion is that culture preferences shape investor choices, which affects integration between stock markets. The equity markets with similar cultural traits tend to increase market linkages; however, we observe differences across regions. Furthermore, liquidity and economic uncertainty fail to have an impact on the significance of culture variable/s as determinants of market linkages.     

How responsive are trade flows between Malaysia and China to the exchange rate? Evidence from industry data

This paper investigates the impact of currency depreciation on bilateral trade between Malaysia and China, especially how a real depreciation of ringgit against the yuan on each industry’s inpayments and outpayments affect the trade balance. We employ disaggregated quarterly data on import and export for 52 industries over the period 1993Q1 to 2012Q4. The results from the bounds testing approach to the cointegration and error-correction model reveal that the real bilateral exchange rate has short and long-run effects on the inpayments and outpayments of the industries. However, the short-run effects shift into the long run in 14 out of 35 industries in the inpayment models and 17 out of 44 industries in the outpayments models. Most of these are small industries producing intermediate goods. According to the ML condition, the depreciation of ringgit against yuan improves Malaysia’s trade balance with China in these industries.     

Are China and India backward? Evidence from the 19th century U.S. Census of Manufactures

Hsieh and Klenow (2009) argue that a large fraction of aggregate TFP differences between the U.S. and the developing countries of China and India can be explained by factor misallocation. Their interpretation is that this misallocation is due to institutions and policies in these developing countries that redirect resources from productive to unproductive firms. Using the U.S. Census of Manufactures from the late 19th century, I find that the level of dispersion in these modern, less developed countries is very similar to that in the 19th century U.S. What is similar about the countries is their level of development not the existence of institutions that Hsieh and Klenow (2009) emphasize such as state-owned enterprises as in China or entry restrictions as in India. These results suggest that the institutional basis of misallocation potentially goes beyond these overtly distortionary policies. I apply their accounting procedure to the U.S. and find that between 4% and 7% of total manufacturing TFP growth in the 20th century can be attributed to a more efficient intra-industry allocation of resources. I conclude by discussing some other explanations for these results including differences in transportation networks and lack of competitive regulation.