Do hours worked contain a unit root? Evidence from panel data

The aim of the present paper is to provide cross country evidence of the non-stationarity of hours worked for OECD countries. For this purpose, panel unit root tests are employed to improve power against univariate counterparts. Since cross section correlation is a distinct feature of the underlying panel data, results are based on various second generation panel unit root tests, which account for cross section dependence among units. If an unobserved common factor model is assumed for generating the observations, there is indication for both a common factor and idiosyncratic components driving the non-stationarity of hours worked. In addition, taking these results together, there is no indication of cointegration among the individual time series of hours worked.     

Can oil prices help predict US stock market returns? Evidence using a dynamic model averaging (DMA) approach

Crude oil price behaviour has fluctuated wildly since 1973 which has a major impact on key macroeconomic variables. Although the relationship between stock market returns and oil price changes has been scrutinized excessively in the literature, the possibility of predicting future stock market returns using oil prices has attracted less attention. This paper investigates the ability of oil prices to predict S&P 500 price index returns with the use of other macroeconomic and financial variables. Including all the potential variables in a forecasting model may result in an over-fitted model. So instead, dynamic model averaging (DMA) and dynamic model selection (DMS) are applied to utilize their ability of allowing the best forecasting model to change over time while parameters are also allowed to change. The empirical evidence shows that applying the DMA/DMS approach leads to significant improvements in forecasting performance in comparison to other forecasting methodologies and the performance of these models are better when oil prices are included within predictors.     

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.     

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 are gold returns related to stock or bond returns in the U.S. market? Evidence from the past 10-year gold market

Although the gold market over the past decade has been soaring relative to its prior history, there have been few studies on the relationship between the gold market and other major financial markets based on the past decade of data. To re-investigate how the gold market interacts with the stock market and the bond market, we re-visit economic and financial characteristics of gold using the past 10-year data in terms of co-integration, causality, predictive power, and extreme returns. We find that while gold returns are not co-integrated with stock returns and bond returns, gold returns have a unidirectional causality with both of them. Also, we discover that gold returns have some predictive power on subsequent short-term stock returns. Under extreme market scenarios, it turns out that gold returns tend to deteriorate more simultaneously with bond returns than stock returns. This means that gold can better serve as a safe haven for stock in a relative sense during temporary market downturns.     

How well do individuals predict their future life satisfaction? Evidence from panel data following a nationwide exogenous shock

Abstract .  Using German panel data, we investigate how well individuals predict their own future life satisfaction. The context is the decade following the 1990 reunification of Germany, which provided a large shock to the future prospects of the inhabitants of the former East Germany. We find that the majority of East Germans significantly overestimated the satisfaction gains from reunification in the years immediately after transition, but by 1994 had converged on correct aggregate expectations. Some evidence of micro-heterogeneity in the prediction errors is found by age and education. For West Germans, we find some initial over-optimism, although less than for East Germans.     

Do oil price changes really matter to the trade balance? Evidence from Korea-ASEAN commodity trade data

The contribution of this article is to assess the effect of oil prices have on the trade balance in the framework of bilateral commodity trade data between Korea and each of the four ASEAN member countries—Indonesia, Malaysia, Singapore, and Thailand. To examine this subject thoroughly, we first assume the effects of oil price changes to be symmetric and apply the linear autoregressive distributed lag (ARDL) method to the subject. We find that the price of crude oil indeed has an important role in affecting Korea's trade balance with those four ASEAN economies in both the long- and short-run. We then separate oil price hikes from oil price plunges and implement the nonlinear ARDL method to reveal that there is evidence that changes in oil prices appear to have asymmetric effects on the trade balance for certain products in the long- and short-run.     

Do mergers really increase output? Evidence from English hospitals

The English hospital sector underwent a major restructuring program between 2000 and 2008 to centralize activity in fewer and larger hospitals. The aim of this paper is to evaluate the effects of such consolidations on hospital outputs. As mergers occurred in a staggered way, treatment could start and end at every time and treatment duration varied over the years. As every time is a mix of hospital pre-treatment, treatment and post-treatment phases, the canonical difference-in-differences assumption of homogeneous policy effects is not only meaningless but also misleading, raising doubts about the appropriateness of the methods previously used in this literature and consequently the accuracy of its results. We instead adopt a new matching and difference-in-differences approach, the flexible conditional difference-in-differences approach, developed by Dettmann et al. in 2020, more appropriate for causal analysis of treatments characterized by varying start dates and varying treatment duration. Our results suggest that mergers downsize hospital activities, especially the most expensive ones. If the goal of hospital mergers is to gain efficiency by centralization of activity, our findings suggest this restructuring programme is not the most successful policy to pursue. Mergers reduce the scope for competition between hospitals and do not create any incentive for poorly performing hospitals.     

Do cash flow imbalances facilitate leverage adjustments of Chinese listed firms? Evidence from a dynamic panel threshold model

This paper investigates the asymmetric impact of cash flow on firms’ leverage adjustments. We use a dynamic panel threshold model and estimate it with a newly-developed first-difference GMM approach, which allows endogeneity in both threshold variable and regressors. Employing data of 1054 Chinese listed firms during 2004–2016, we show that Chinese listed firms have leverage targets, towards which they adjust at an average speed of 25.9%. Moreover, firms with larger absolute cash flow adjust towards their leverage targets significantly faster than those with smaller absolute cash flow. This finding is robust to a post-financial crisis sample period, alternative measures of leverage and cash flow, and the incorporation of an additional control variable. We find evidence that cash flow imbalances facilitate leverage adjustments by reducing adjustment costs, and Chinese listed firms rely more on debt issues. These findings provide new insights on firms’ leverage adjustment and cash flow management.     

Does greater central bank independence really lead to lower inflation? Evidence from panel data

It has long been held that central bank independence (CBI) from political control is a necessary requirement to curb inflation. In recent times, however, this long held belief has been challenged. Using a recently compiled panel data set on central bank independence measures, the proposition that greater CBI leads to lower inflation is tested, using latent variable analysis. The use of this alternative econometric technique, along with two additional indicators that capture more appropriately the degree of de facto independence, leads to empirical results that are highly supportive of the negative relationship between CBI and inflation, thereby restoring faith in the conventionally held wisdom, that greater CBI is needed to lower inflation.     

Is technology acquisition enough to improve China's product quality? Evidence from firm-level panel data

As developing countries open themselves up to trade, many industrial firms in these countries are finding it difficult to compete internationally due to poor product quality and low product variety. Although China has been the largest producer of crude steel since 1996, China's steel firms have produced an overabundance of low-quality steel while domestic purchasers of steel have increasingly demanded higher quality steel products. Many have argued that for Chinese steel firms to improve product quality they must adopt more advanced technologies. Employing firm-level panel data of steel firms in China, we econometrically test the relative importance of two possible sets of factors affecting a firm's ability to utilize technology to improve product quality: technology acquisition factors and technology absorptive capacity factors. We find that technology complements such as in-house R&D and foreign knowledge must be combined with technology for Chinese firms to improve product quality.     

Public attention to “Islamic terrorism” and stock market returns

Does public attention to Islamic terrorism affect the performance of Islamic and conventional indices? We answer this question by empirically examining the effects of US public attention to Islamic terrorism on returns of US Islamic and conventional indices between 2004 and 2017. US public attention to Islamic terrorism is measured using Google Search Volume, which reflects active public attentiveness, and media coverage, which measures passive attentiveness. We test its effect on the stock returns of Islamic and conventional indices by using difference-in-difference analysis. The results indicate that US public attention to Islamic terrorism negatively affects US Islamic indices, suggesting that investors may make amalgams between terrorism and Islamic finance. These clichés may lead them to sell Sharia-compliant assets when US public attention to Islamic terrorism is high. Taken together, our findings provide new evidence and financial implications for investors and providers of Islamic financial products.     

Do stock prices react to immigration restrictions? Evidence from an event study in Switzerland

This article tests the effects of sudden immigration restrictions on stock prices of firms in industries with high shares of immigrants. It estimates the abnormal returns as a function of the share of migrants by industry. To do so, one specific event – a referendum on migration policy with an unexpected outcome – that will potentially cut off Swiss listed companies from the supply of foreign labour is studied. Although operating in an industry with a high share of immigrants is associated with lower returns, the effect is not very strong, which indicates that investors seem to trust the government to leave some leeway in the implementation of the constitutional amendment that was voted on.     

Do stock returns hedge inflation at long horizons?

We investigate the long-horizon relationship between market returns and inflation in the United States. Conventional tests for long horizon predictability may reject the null too frequently when the predictor variable is highly persistent and endogenous and there are overlapping observations. We use a recently developed econometric technique designed to overcome these problems. We find little to no evidence that securities are able to hedge inflation.     

Forecasting stock returns: Do less powerful predictors help?

This paper proposes a simple but efficient way to improve the predictability of stock returns. Instead of torturously constructing new powerful predictors, we readily select existing predictors that have low correlations and thus provide complementary information. Our forecasting strategy is to use the selected predictors based on a multivariate regression model. In our forecasting strategy, less powerful predictors are also useful for forecasting stock returns if they could provide complementary information. The empirical results show that our forecasting strategy outperforms not only the univariate regression models that use each predictor's information separately but also combination approaches that use all predictors jointly. We also document that our strategy extracts significantly more useful information from the complementary predictors than the competing models. In addition, from an asset allocation perspective, a mean-variance investor realizes substantial economic gains. Furthermore, the evidence based on Monte Carlo simulations supports the feasibility of our forecasting strategy.     

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.     

Why do some firms contract out production? Evidence from firm-level panel data

This paper examines the determinants of self-employment and transitions from salaried employment to self-employment using two sets of Finnish data from the 1990s. The results show that capital constraints have only a minor effect on new business starts. Human capital, in the form of intergenerational links in self-employment and psychological factors play a much larger role. The paper also provides empirical evidence that less risk-averse workers are more likely to become entrepreneurs.     

Do the ECB's introductory statements help predict monetary policy? Evidence from a tone analysis

In this paper, we examine whether a tone shock derived from European Central Bank communication helps predict ECB monetary policy decisions. To this purpose, we first use a bag-of-words approach and several dictionaries on the ECB's Introductory Statements to derive a measure of tone. Next, we orthogonalise the tone measure on the latest data available to market participants to compute the tone shock. Finally, we relate the tone shock to future ECB monetary policy decisions. We find that the tone shock is significantly and positively related to future ECB monetary policy decisions, even when controlling for market expectations of monetary policy and the Governing Council's inter-meeting communication. Further extensions show that the predictive ability of the tone shock is robust to (i) the normalization of the tone measure, (ii) alternative market expectations of monetary policy, and (iii) the horizon of macroeconomic variables used in the Taylor-type monetary policy rule. These findings highlight an additional channel through which ECB communication improves monetary policy predictability, suggesting that the ECB may have private information that it communicates through its Introductory Statements.     

Do asylum-seekers respond to policy changes? Evidence from the Swedish–Syrian case*

Do asylum-seekers respond to policy changes in their destination country, and to what extent? We approach this question by using high-frequency data, and we focus on a sudden liberalization in Swedish policy toward Syrian asylum-seekers, which implied permanent instead of temporary residence. We show a clear and fast, yet temporary, increase in Syrian asylum applications in Sweden after the policy change. Also, the policy caused a shift – not limited to the short term – in the share of individuals arriving without family, and consequently in the share applying for family reunification. Our study adds quasi-experimental evidence to the literature on inter-country asylum flows and migration policy.     

Do microfinance institutions fulfil their promise? Evidence from cross-country data

The concept of microfinance promises poverty reduction and economic growth. We empirically challenge this economic and social promise in an attempt to prove its fulfilment. Our multivariate regressions of economic development variables such as per capita gross national income based on PPP converted to international dollars (GNI per capita PPP), GDP growth, as well as gross capital formation and labour participation rate against specific microfinance institutions’ (MFI) variables show that the success and performance of MFIs significantly influence economic development. Microfinance directly influences economic growth through the value that MFI performance adds to purchasing power. An indirect impact comes from an improvement in capital accumulation and employment rates. These insights are valuable as the interdependencies between microfinance and economic development that this article verifies offer new and progressive insights into purposeful action that can be taken to stimulate economic development and growth. Targeted development programmes as well as socially responsible investments can be applied in developing economies in order to strengthen their growth and alleviate poverty.