Properties of nonlinear transformations of fractionally integrated processes

This paper shows that the properties of nonlinear transformations of a fractionally integrated process strongly depend on whether the initial series is stationary or not. Transforming a stationary Gaussian I(d) process with d>0 leads to a long-memory process with the same or a smaller long-memory parameter depending on the Hermite rank of the transformation. Any nonlinear transformation of an antipersistent Gaussian I(d) process is I(0)). For non-stationary I(d) processes, every polynomial transformation is non-stationary and exhibits a stochastic trend in mean and in variance. In particular, the square of a non-stationary Gaussian I(d) process still has long memory with parameter d, whereas the square of a stationary Gaussian I(d) process shows less dependence than the initial process. Simulation results for other transformations are also discussed.     

股市收益率与波动性长期记忆效应的实证研究

股票市场长期记忆效应问题是近来金融实证研究的一个热点.多数的研究集中在收益率长期相关性的考察上,较少有对波动率序列的研究.然而,波动率的长期记忆性不仅会导致金融市场上的波动持久性特征,而且将对波动率的预测与衍生证券定价产生重要的影响.基于此,本文通过修正的R/S分析与ARFIMA模型对我国股市收益率及其波动性的长期相关性进行了实证研究.结果表明:中国股市具有显著的非线性特征,虽然收益率序列的自相关性较弱,但波动性序列却表现出显著的长期记忆效应.这一结论将为研究股票价格行为特征与金融经济学理论提供新的方向.     

If It's Good for the Firm,It's Good for Me: Insider Trading and Repurchases Motivated by Undervaluation

My findings suggest that information inherent in insider trading can be used to identify undervalued repurchasing firms. I examine the relation between insider trading and the performance of open market repurchase (OMR) firms. I show that firms with high net insider buying prior to OMR announcements not only earn abnormal stock returns in both the short‐ and long‐run, but also exhibit better operating performance. Overall, the evidence is consistent with insiders timing their trades prior to OMR announcements.     

The Effects of US Macroeconomic Surprises on the Intraday Movements of Foreign Exchange Rates: Cases of USD-EUR and USD-JPY Exchange Rates

This paper characterizes the intraday dynamics of the high frequency US Dollar (USD)–Euro (EUR) and US Dollar (USD)–Japanese Yen (JPY) foreign exchange rates that have been subject to macroeconomic fundamentals. Even though the FIGARCH model with a normality assumption is found to be a good starting point, it appears to be inappropriate to represent the underlying movements of the high frequency returns due to the occurrences of jumps. Hence, this paper relies on the FIGARCH model with the mixture distribution that allows for the time-varying jumps that are determined by the US macroeconomic surprises. This paper generally finds that the US macroeconomic surprises are closely related to the intraday movements in the volatility process of the high frequency returns process through the jumps. In particular, the US macroeconomic surprises appear to affect the movements in the volatility process of the foreign exchange rates asymmetrically depending on the signs of the surprises and spuriously increasing the long memory persistence in the volatility process due to the jumps.     

Leisure Opportunities and Fatigue in Employees: A Large Cross-Sectional Study

The aim of the present study was to investigate the association between perceived leisure availability and fatigue in working individuals and the extent it mediates the known association between work hours and fatigue. A sample of 7,154 working individuals (ages 20–59) was drawn from the Austrian Health Survey 2006–07. The associations were determined using stepwise logistic regression analysis. Individuals perceiving few opportunities for leisure activities had a 2.7 greater likelihood of having prolonged fatigue (95% CI = 2.05–3.29) than those with sufficient leisure, after controlling for relevant confounders. Furthermore, the positive association between weekly hours of work and fatigue was mediated to a greater part by leisure opportunities, indicating that working long hours leads to fatigue by limiting leisure opportunities. The results of this study suggest that the perceived availability of leisure is a source of health and well-being in working individuals.     

Estimating the tourism induced environmental Kuznets curve in France

Abstract

France has retained its position as the world’s favourite tourism destination. Accounting for around 83 million visitors and 4.2% of the total employment, the tourism sector in France contributes to nearly 9% of the total GDP. However, as reported by the World Tourism Organization, road and air travel related to tourism activities account for approximately 10% of the total CO₂ emissions in the atmosphere, thereby contributing to severe air pollution. Thus, initiatives are necessary to prevent environmental damage that could have a corresponding detrimental effect on the tourism industry itself and slow down the country’s economic growth. This study utilises a vector error correction model (VECM) to investigate the relationship between polluting emissions, GDP levels, and tourism flows in France to test the validity of the environmental Kuznets curve (EKC) hypothesis for the period 1995–2014. Additionally, based on a joint analysis of long-run parameters and causality links, appropriate policy strategies are proposed to promote robust and sustainable long-run economic growth.     

Grounded Theory of Leisure Travel

Abstract

This article reviews grounded theory studies available in the literature that deepen understanding of leisure travel decisions and tourism behaviors. The article includes a set of core propositions that are examined empirically. The reported study includes applying the “long interview method” and “theoretical sampling” in completing personal, face-to-face, interviews of travel parties at the moment of just ending their visits to a Canadian Province. The empirical analysis focuses on acquiring process data held in the minds of customers-that is, the analysis illustrates emic-based storytelling of what was planned and what actually happened that led to what specific outcomes. Achieving such holistic, case-based views of leisure travel decisions and tourism behavior provides a rich, deep and nuanced-filled understanding of the causes and consequences of such behaviors.     

The long memory of the forward premium during the 1920s’ float: evidence from the European foreign exchange market

This paper investigates the fractional dynamics of the foreign exchange forward premium during the floating period of the 1920s. We apply weekly exchange rates of the currencies from Belgium, France, Germany, Holland, Italy and the USA against the British pound from February 1921 to May 1925 and employ two different definitions of the forward premium. The German data are for the period ranging from February 1921 to December 1922. This period includes the German hyperinflation era. The empirical investigation is conducted by means of two different fractional integration methods: the Geweke and Porter-Hudak and the Robinson tests. The results provide some evidence of long memory, mostly in the case of Belgium, Holland and Italy. Many of the forward premiums during the 1920s may have become non-stationary as markets began to anticipate the UK's return to gold at its pre-war parity. In the case of Germany, it may have been due to market failure. The varying results presented could be due to the wide differences in the microeconomic and macroeconomic fundamentals and political setups of the countries during the 1920s.     

Processes for stocks capturing their statistical properties from one day to one year

A realistic ARCH process is set up so as to duplicate, for all practical purposes, the properties of stock time series from 1 day to 1 year. The process includes heteroskedasticity with long memory, leverage, fat-tail innovations, relative return, price granularity, and holidays. Its adequacy to describe empirical data is controlled over a broad panel of statistics, including (robust L-statistics) skew, (robust) kurtosis, shape factor for the volatility distribution, and lagged correlations between combinations of return and volatility. These statistics are computed for returns and volatilities with characteristic time intervals ranging from 1 day to 1 year. This wide cross-check between stock time series and simulations ensures that the most important features of the data are correctly captured by the process up to 1 year. The by-products of the statistical analyses and estimations are (1) a positive skew, (2) a cross-sectional relation between kurtosis and heteroskedasticity, (3) a very similar cross-sectional distribution for the statistics evaluated over the empirical data set or for the process with one set of parameters and (4) the heteroskedasticity is very close to an integrated volatility process.     

Stylised facts of financial time series and hidden Markov models in continuous time

Hidden Markov models are often applied in quantitative finance to capture the stylised facts of financial returns. They are usually discrete-time models and the number of states rarely exceeds two because of the quadratic increase in the number of parameters with the number of states. This paper presents an extension to continuous time where it is possible to increase the number of states with a linear rather than quadratic growth in the number of parameters. The possibility of increasing the number of states leads to a better fit to both the distributional and temporal properties of daily returns.