PREDICTING STOCK RETURNS AND VOLATILITY WITH INVESTOR SENTIMENT INDICES: A RECONSIDERATION USING A NONPARAMETRIC CAUSALITY‐IN‐QUANTILES TEST

Evidence of monthly stock returns predictability based on popular investor sentiment indices, namely S^BW and S^PLS as introduced by Baker and Wurgler (2006, 2007) and Huang et al. (2015) respectively are mixed. While, linear predictive models show that only S^PLS can predict excess stock returns, nonparametric models (which accounts for misspecification of the linear frameworks due to nonlinearity and regime changes) finds no evidence of predictability based on either of these two indices for not only stock returns, but also its volatility. However, in this paper, we show that when we use a more general nonparametric causality‐in‐quantiles model of Balcilar et al., (forthcoming), in fact, both S^BW and S^PLS can predict stock returns and its volatility, with S^PLS being a relatively stronger predictor of excess returns during bear and bull regimes, and S^BW being a relatively powerful predictor of volatility of excess stock returns, barring the median of the conditional distribution.     

EARTHQUAKE RISKS AND LAND PRICES: EVIDENCE FROM THE TOKYO METROPOLITAN AREA*

The current paper empirically addresses risk aversion of households and firms toward earthquake risks using a hazard map compiled for the entire region by the Tokyo metropolitan government in 1998. It finds strong evidence for the impact of earthquake risks on land pricing; land prices have been substantially lower in risky areas than in safe areas. That impact became more evident in the 1990s than in the 1980s, indicating that households and firms were becoming more sensitive to earthquake risks. In addition, this paper carefully examines the consistency of the estimated magnitude of earthquake risk premiums within a framework of the expected utility hypothesis.     

PERSONALITY TRAITS AND THE PERCEPTION OF MACROECONOMIC INDICATORS: SURVEY EVIDENCE

I examine the determinants of both perceived inflation and unemployment in one single survey and include Big Five traits in the analysis. This is the first survey on this topic in Germany. My sample consists of 1771 students from different fields and levels. Using PhD students’ estimates as a reference, I create categories for underestimation and overestimation of both variables. Multinomial logit regressions show that females overestimate both variables. Education and news consumption reduce misestimation. A higher level of Neuroticism is related with a higher probability to overestimate unemployment. Overstating (understating) one indicator is associated with overstating (understating) the other.     

THE PERSISTENCE OF INCOME POVERTY AND LIFESTYLE DEPRIVATION: EVIDENCE FROM ITALY

This article estimates poverty persistence over an individual's lifetime, using two definitions: income poverty and a multidimensional index of lifestyle deprivation. We stress the ability of the two definitions to provide a generally consistent characterization of poverty persistence risks faced by various population subgroups, but also the additional insights to be gained by analysing the two definitions in parallel in a longitudinal context. The results of multiple‐spell hazard rate models highlight the weaknesses of the Italian labour market, the insufficiencies of the existing social security system, and the deep territorial dualism in generating persistent poverty for certain groups of the population.     

BANK PERFORMANCE,FINANCIAL STABILITY AND MARKET CONCENTRATION: EVIDENCE FROM COOPERATIVE AND NON‐COOPERATIVE BANKS

Relying upon highly territorially disaggregated data taken at labour market areas, the paper explores the relationship between bank performances and financial stability of the banking system taking into account the role of market concentration. The z‐score is used as financial stability indicator, while the performance of financial intermediaries is measured using a parametric method recently developed (Kumbhakar et al. 2014). The empirical evidence shows a positive relationship between bank performance and financial stability and supports the ‘concentration–stability’ view for non‐cooperative banks only when concentration is measured on the whole sample of banks. Differences in the performance–stability nexus seem to depend more on the type of banks rather than different levels of market concentration. Higher market concentration of cooperative banks affects systemic stability by reducing the z‐scores of non‐cooperative banks, supporting the hypothesis that the presence of non‐profit‐maximizing entities can pull down stability of other financial institutions.     

FINANCIAL CONSTRAINTS, GLOBAL ENGAGEMENT, AND FIRM SURVIVAL IN THE UNITED KINGDOM: EVIDENCE FROM MICRO DATA

Financial constraints have been found to play an important role on various aspects of firm behavior. Yet, their effects on firm survival have been largely neglected. We use a panel of 61,496 UK firms over the period 1997–2002 to study the effects of financial variables on firms' failure probabilities, differentiating firms into globally engaged and purely domestic. Estimating a wide range of specifications, we find that lower collateral and higher leverage result in higher failure probabilities for purely domestic than for globally engaged firms. This can be seen as evidence that global engagement shields firms from financial constraints.     

THE DYNAMIC RELATION BETWEEN RETURNS,TRADING VOLUME,AND VOLATILITY: LESSONS FROM SPILLOVERS BETWEEN ASIA AND THE UNITED STATES

This paper investigates the dynamic relationship between index returns, return volatility, and trading volume for eight Asian markets and the US. We find cross‐border spillovers in returns to be non‐existent, spillovers in absolute returns between Asia and the US to be strong in both directions, and spillovers in volatility to run from Asia to the US. Trading volume, especially on the Asian markets, depends on shocks in domestic and foreign returns as well as on volatility, especially those shocks originating in the US. However, only weak evidence is found for trading volume influencing other variables. In the light of the theoretical models, these results suggest sequential information arrivals, with investors being overconfident and applying positive feedback strategy. Furthermore, new information causes price volatility to rise due to differences in its interpretation among traders, but the subsequent market reaction takes the form of adjustment in price level, not volatility. Lastly, the intensity of cross‐border spillovers seems to have increased following the 1997 crisis, which we interpret as evidence of increased noisiness in prices and diversity in opinions about news originating abroad. Our findings might also help to understand the nature of financial crises, to predict their further developments and consequences.     

STABILITY OF THAI BAHT: TALES FROM THE TAILS

We demonstrate how the EVT‐based signalling approach for currency crises can be applied to an individual country with a small sample size. Using Thai historical data, first, we study the tail characteristics of the distributions of two Thai baht instability measures and 21 economic fundamentals. Then, we test asymptotic dependence between the currency instability measures and lagged economic fundamentals. Empirically, we find that the distributions of both currency instability measures and economic variables are heavy tailed. Assuming a normal distribution for the variables tends to underestimate the probability of extreme events. Furthermore, most of the economic variables which are usually used as signalling indicators for currency crises are asymptotically independent of the currency instability measures. Signals issued by these variables are thus not reliable. Nevertheless, the non‐parametric EVT approach facilitates the selection of economic indicators with credible signals and high crisis prediction success.     

Prediction of volatility based on realized-GARCH-kernel-type models: Evidence from China and the U.S.

We propose three Realized-GARCH-Kernel-type models which do not make the distribution assumptions on the return disturbance terms. We use this type of model to predict the return volatilities of the 50ETF in China and the S&P500 index in the U.S. The semiparametric kernel density estimator of our models, which captures the skewness, asymmetry and fat-tail of financial assets, performs well both statistically and economically. Our models have more predictive power than other eight comparable volatility models that need to pre-specify the distribution of the disturbance terms. Our results are robust to eight measures of realized volatility. Using option straddle strategies, we show that our models generate larger trading profits and greater Sharpe ratios than the other competing models.     

STOCK‐BOND CO‐MOVEMENTS AND FLIGHT‐TO‐QUALITY IN G7 COUNTRIES: A TIME‐FREQUENCY ANALYSIS

This paper examines co‐movement between stock returns and changes in 10‐year government bond yields as well as flight‐to‐quality behaviour in G7 countries. We conduct the wavelet squared coherence analysis to explore the dynamics in both time and frequency domain. Our results provide evidence of positive co‐movements, which vary over time and across investment horizon. The higher co‐movement is found to be more concentrated in the lower frequency bands. We further analyse the dynamic nature of the scale‐dependent wavelet correlations and find that the correlations are highly volatile and significantly increase across different time scales during the episodes of equity market turbulence. The increase in correlations reflects flights from stocks to safer bond investments as a result of dramatic changes in investor sentiment and risk aversion at times of market stress.