Does measurement error matter in volatility forecasting? Empirical evidence from the Chinese stock market

Based on methods developed by Bollerslev et al. (2016), we explicitly accounted for the heteroskedasticity in the measurement errors and for the high volatility of Chinese stock prices; we proposed a new model, the LogHARQ model, as a way to appropriately forecast the realized volatility of the Chinese stock market. Out-of-sample findings suggest that the LogHARQ model performs better than existing logarithmic and linear forecast models, particularly when the realized quarticity is large. The better performance is also confirmed by the utility based economic value test through volatility timing.     

Empirical of the Taiwan stock index option price forecasting model – applied artificial neural network

This work presents a novel neural network model for forecasting option prices using past volatilities and other options market factors. Out of different approaches to estimating volatility in the option pricing model, this study uses backpropagation neural network to forecast prices for Taiwanese stock index options. The ability to develop accurate forecasts of grey prediction volatility enables practitioners to establish an appropriate hedging strategy at in-the-money option.     

Are some taxes different than others? An empirical investigation of the effects of tax policy in Canada

This paper investigates the response of major macroeconomic variables to four different types of tax policy innovations in Canada within a VAR framework. The positive tax multipliers documented in the previous literature are found only for corporate tax innovations. Our results indicate that different taxes affect output differently, and imply that the composition of total taxes may be a major factor behind cross-country variation in the sign and magnitude of total tax multipliers.

Is the NAIRU more useful in forecasting inflation than the natural rate of unemployment?

Recent studies have indicated that the terms ‘NAIRU’ (non-accelerating inflation rate of unemployment) and ‘natural rate of unemployment’ are not interchangeable. While NAIRU is an empirical macroeconomic relationship estimated via a Phillips curve, the natural rate is an equilibrium condition in the labour market, reflecting the market's microeconomic features. This study evaluates comparatively the inflation-forecasting power of alternative time-varying estimates of the natural rate of unemployment relative to the NAIRU. The natural rate of unemployment in the USA since the Second World War is estimated. Three alternative methods are utilized: the Kalman filter, a structural determinants approach, and the Hodrick-Prescott filter. The section that follows assesses how each estimator of the natural rate compares with the others – as well as with the NAIRU derived from a Phillips curve – in forecasting inflationary changes in the USA in the second half of the twentieth century. The analysis reveals that the overall inflation-forecasting utility of the natural rate of unemployment relative to the NAIRU is not very different. Moreover, the conclusion appears to be quite robust to various estimators of the natural rate.     

Why do immigrant workers in Australia perform better than those in Canada? Is it the immigrants or their labour markets?

Research comparing the labour market performance of recent cohorts of immigrants to Australia and Canada points to superior employment and earnings outcomes in Australia. Examining Australian and Canadian Census data between 1986 and 2006, we find that this performance advantage is not driven by differences in broader labour market conditions affecting all new labour market entrants. Rather, the results from comparing immigrants from a common source country – either the U.K., India, or China – suggest that Australian immigrants perform better, particularly in average earnings, primarily because of a different source country distribution. Moreover, the recent tightening of Australian selection policy, most notably its use of mandatory pre‐migration English‐language testing, appears to be having an effect, primarily by further shifting the source country distribution of immigrants away from non‐English‐speaking source countries, rather than in identifying higher‐quality migrants within source countries.     

Does the introduction of stock exchange markets boost economic growth in African countries?

We assess whether the introduction of private equity capital markets affects economic growth in African countries. We address this issue by focussing on stock exchange markets as the predominant type of new equity markets, using a Diff-in-Diff regression method. The analysis uses a panel data set from 48 Sub-Saharan countries over the time range of 1970–2018. 23 countries are part of the “treated” group – which introduced international stock exchanges – and 25 “untreated” countries serve as the control group. Our results show that when compared with the time period prior to the introduction of stock exchange markets, GDP per capita rises by the amount of 532 US$ (around 40% of the Sub-Saharan average) after the introduction of equity capital markets in the treated countries. Over the ten years post introduction, the effect is hump-shaped, with effects becoming statistically significant from the first year after implementation, with a peak in the 5th year, and it then becomes statistically insignificant from then onwards.     

Does mixed-frequency investor sentiment impact stock returns? Based on the empirical study of MIDAS regression model

We examine whether mixed-frequency investor sentiment affects stock returns. In line with recent evidence from China, we find that the aggregate effect and the individual effect of mixed-frequency investor sentiment are statistically significant, and mixed-frequency investor sentiment is more important than the low-frequency one. Moreover, mixed-frequency investor sentiment, which is mixed by high-frequency data, can be more important than the market premium.     

Interrelationships among the Taiwanese,Japanese and Korean TFT-LCD panel industry stock market indexes: An application of the trivariate FIEC–FIGARCH model

The purpose of this study is to analyze the interrelationships among the Taiwanese, Japanese and Korean TFT-LCD panel industry stock market indexes by applying a trivariate FIEC-FIGARCH model. The empirical results confirm that the FIEC-FIGARCH model can be used to capture long memory behavior and allow us to conclude that mean and volatility spillover, and long memory effects are found in these three markets. Furthermore, we found that deviations in the long-run equilibrium for Japanese TFT-LCD panel industry adjust back very slowly in comparison to the other two countries; and that, in terms of conditional covariance, dynamic interrelationships exist among the TFT-LCD panel industry stock market indices of these three countries.     

Are experts better than potential users in predicting the uptake of an innovation? Extending the use of the Juster Scale

Are experts or potential users better at predicting the success of a new product? To explore this question we used an eleven-point probability scale, the Juster Scale, to ask various groups of people about their probability of taking up a new product and also their assessment of its chance of its success in the marketplace. Although this type of scale generally performs better than intention scales it tends to over-predict when used in a repertoire market and we examine its performance for a boundary condition of such a market. We also explored the use of the scale as a projective research tool which is a novel application. In this study the product was a new type of charity lottery. The study was undertaken in the month prior to the lottery closing and we subsequently knew the actual outcome. The Juster Scale generally performed poorly as a predictor in this context. The predictions from the experts were no more accurate than those of the general public but none had direct knowledge of an equivalent lottery. This exploratory study concluded that the actual behaviour of a sample of relevant consumers, where the product is available, is better for forecasting than asking for estimates of their potential behaviour, that is, behaviour predicts behaviour better than probabilities of behaviour.     

Does the law of one price hold in a high-inflation environment? A tale of two cities in Turkey

This study addresses the price convergence in two cities in Turkey (Istanbul and Ankara) using annual data over the three-quarters of the twentieth century (1922–1998), characterized by prevailing high inflation rates for most of the period. In contrast to the rest of the literature addressing convergence in price levels with a typical result of extremely slow convergence rates at best, we argue that convergence is much easier detected in growth rates rather than levels of prices. We suggest using the bounds testing procedure of Pesaran et al. (2001) for this purpose. We find a clear-cut evidence on the existence of a common driving force behind inflation dynamics in Istanbul and Ankara – a finding that is in contrast with the results typically reported in related literature.     

Does the mixed-ownership reform improve the productivity of state-owned enterprises? Evidence from companies listed in Chinese stock

The Chinese government initiated a new round of state-owned enterprise (SOE) reform in 2015 to improve SOE's performance with a focus on introducing multiple ownership shareholders and strategic partners, known as the mixed-ownership reform (MOR). This paper examines the policy effectiveness of the current MOR, an ongoing quasi-experiment, for listed SOEs’ productivity from 2011 to 2019 using a time-varying difference-in-difference (DID) approach. Overall, the total factor productivity (TFP) of SOEs selected as pilots by the government improved significantly by 14.57% after the reform compared to other SOEs, providing evidence for the positive role of the current MOR. This positive impact is prolonged and tends to increase in the post-reform years. A series of robustness checks show that our empirical specification satisfies the basic assumptions of DID and our findings are robust. By comparing the two reform strategies in the MOR, we find that the restructuring and reorganization plan is the primary channel driving TFP growth, showing a 0.4% improvement after the reform, rather than the employee stock ownership plan. We also investigate the impact of MOR on other financial and non-financial indicators, but we only find a significant increase in the profitability of SOEs’ assets.     

What drives compliance? An application of the theory of planned behaviour to urban water restrictions using structural equation modelling

This article presents analysis of households’ intentions to comply with government constraints on the use of urban water, or so-called water restrictions. The data are drawn from Australian cities and was collected during a severe drought. Structural equation modelling is employed to operationalize constructs taken from the theory of planned behaviour and to answer important policy questions related to compliance. The modelled data support the view that attitudes, social norms and perceived behavioural control (PBC) have a positive and significant influence on intentions to comply. PBC has the strongest influence on intentions, suggesting policy directed at assisting households to meet regulatory criteria might be at least as effective as advertising expenditures aimed at shaping attitudes and norms. Importantly, intentions to comply are also shown to have a positive and significant influence on reported compliance behaviour.     

Why is it so difficult to outperform the random walk? An application of the Meese–Rogoff puzzle to stock prices

Some economists suggest that the Meese–Rogoff puzzle is equally applicable to the stock market, in the sense that no model of stock prices can outperform the random walk in out-of-sample forecasting. We argue that this is not a puzzle and that we should expect nothing, but this result if forecasting accuracy is measured by the root mean square error (RMSE) and similar metrics that take into account the magnitude of the forecasting error only. We demonstrate by using two models for dividend-paying and nondividend-paying stocks that as price volatility rises, the RMSE of the random walk rises, but the RMSE of the model rises even more rapidly, making it unlikely for the model to outperform the random walk.     

Poverty risk of the unemployed in six European countries: why is it higher in some countries than in others?

In all European countries unemployed persons face a high risk of relative poverty, but poverty rates vary greatly among EU countries. We analyse to what extent these differences could be explained by a different composition of the unemployed or by differences in the national income distribution functions. Our results indicate that the effects of individual characteristics on the poverty risk are roughly comparable between countries, but the composition of the unemployed is very different, which explains on average half of the cross-country differences in poverty rates.     

Does monetary integration lead to income convergence in Africa? a study of the CFA monetary area

Portuguese Economic Journal - The CFA franc area is one of the oldest currency unions, but it has come under intense criticism recently for failing to promote economic growth and income convergence...     

Why has wage inequality increased more in the USA than in Europe? An empirical investigation of the demand and supply of skill

During the past two decades the wage gap between high and low skill labour has increased more in the USA than in many European countries. In this paper, the correspondence between occupation and education is used to construct aggregates of skill supply, skill demand and unemployment by skill group that are comparable across countries. Using individual data for years 1983–1994, it is found that the relative demand for skilled labour has increased to a similar extent in the USA and in Europe and that wage inequality remained low in Europe partly because the European relative supply of skill increased much faster than in the USA, and partly because European relative wages were rigid, which caused an increase in unemployment among the low-skilled.     

Does it really pay to do better? Exploring the financial effects of changes in CSR ratings

Previous literature on the link between corporate social responsibility (CSR) and financial performance has focused mainly on the financial implications of a firm’s level of CSR without considering the potential effects on financial performance of variations in CSR rating. We try to fill this gap by studying whether variations in a firm’s CSR rating affect systematic risk, firm value, and portfolio performance. First, our results show that an increase in firms’ CSR efforts, as reflected by an increase in their CSR ratings, significantly reduces systematic risk. Second, a positive variation in CSR ratings significantly improves firm value. Finally, from a portfolio perspective, a strategy that consists of buying stocks that have experienced a CSR ratings increase and selling stocks that have experienced a CSR ratings decrease (or remain stable) leads to lower financial performance. Taken together, our findings provide new evidence and financial implications for firms and portfolio managers.     

Does the microsimulation approach used in macro–micro modelling matter? An application to the distributional effects of capital outflows during Argentina's Currency Board regime

We provide a novel comparison between the behavioural and the non-parametric microsimulation approach. Coupled with a CGE model, we consider the distributional effects of the significant capital outflows faced by the Argentinean economy at the end of its Currency Board, in a context with significant macroeconomic similarities to the present crisis in Greece. Both the relatively straightforward ‘non-parametric’ approach and the more complex behavioural approach lead to distributional results that are consistent with the data, suggesting that both are viable alternatives. Looking forward, it would be desirable for researchers to look for additional evidence regarding the distributional effects that these microsimulation models can illuminate for given macroeconomic shocks.     

Does belief in objective morality lead to coercion? An analysis of the arguments of Kelsen and Buchanan

Two leading scholars of the 20th century – Hans Kelsen and James Buchanan – both suggested that belief in an objective morality entails a disparaging attitude towards political and individual freedom. The main point was similar: Why let people decide for themselves, whether in politics or ordinary life, if what is objectively right is known? This paper presents their arguments and evaluates them, both by specifying three conditions that need to be met for the arguments to hold (the objective morality must be believed to be known, a belief in a known morality must entail a motivation to see it followed and the content of the known morality must not block coercion) and by relating them to recent experimental research (which nevertheless provides some empirical support).