Detections of changes in return by a wavelet smoother with conditional heteroscedastic volatility

In this paper, we propose two estimators, an integral estimator and a discretized estimator, for the wavelet coefficient of regression functions in nonparametric regression models with heteroscedastic variance. These estimators can be used to test the jumps of the regression function. The model allows for lagged-dependent variables and other mixing regressors. The asymptotic distributions of the statistics are established, and the asymptotic critical values are analytically obtained from the asymptotic distribution. We also use the test to determine consistent estimators for the locations of change points. The jump sizes and locations of change points can be consistently estimated using wavelet coefficients, and the convergency rates of these estimators are derived. We perform some Monte Carlo simulations to check the powers and sizes of the test statistics. Finally, we give practical examples in finance and economics to detect changes in stock returns and short-term interest rates using the empirical wavelet method.     

International capital mobility: regional versus global perspective

This paper examines the role of regional versus global savings in financing domestic investment to shed light on the role of financial globalization and regionalism in capital markets. Regression results based on six regions with 141 countries reveal that although the role of foreign (global or regional) saving has increased over time, there are regional differences: domestic saving is the major source of investment financing in North America with an increasing role of regional and global savings over time, while regional saving is the main source in Europe. Global saving has been the main source of investment financing in other regions where domestic and regional financial markets are not well developed. However, the role of regional saving has significantly increased in recent years in the Asia-Pacific and in Latin America. Regionalism such as financial and monetary cooperation is likely to have increased the role of regional saving.     

Population Structure and Housing Prices: Evidence from Chinese Provincial Panel Data

This study analyzes the relationship between the proportion of the economically active population aged 15–64 to total population and housing prices. A panel of 31 provinces in China from 2002 to 2014 is used in our analysis. We find empirical evidence that the impact of the population structure on housing-price growth increases as the population growth rates rise. This observation suggests that, to understand provincial housing price movements in China, one should consider the ratio of working-age population to total population in a province. The main policy implication is that Chinese policymakers need to ensure a moderated population growth to effectively promote stability in housing prices and the economy.     

Does multinationality matter? Implications of operational hedging for the exchange risk exposure

An important issue in global corporate risk management is whether the multinationality of a firm matters in terms of its effect on exchange risk exposure. In this paper, we examine the exchange risk exposure of US firms during 1983–2006, comparing multinational and non-multinational firms and focusing on the role of operational hedging. Since MNCs and non-multinationals differ in size and other characteristics, we construct matched samples of MNCs and non-multinationals based on the propensity score method. We find that the multinationality in fact matters for a firm’s exchange exposure but not in the way usually presumed – the exchange risk exposures are actually smaller and less significant for MNCs than non-multinationals. The results are robust with respect to different samples and model specifications. There is evidence that operational hedging decreases a firm’s exchange risk exposure and increases its stock returns. The effective deployment of operational risk management strategies provides one reason why MNCs may have insignificant exchange risk exposure estimates.     

Testing the random walk hypothesis for real exchange rates

This paper tests the random walk hypothesis for the log-differenced monthly US real exchange rates versus some major currencies. The tests we use are variance ratio test, Durlauf's (1991) spectral domain tests and Andrews and Ploberger's ( 1996) optimal tests. The variance ratio test is calculated by using Andrews' (1991) optimal data-dependent methods. Finite sample properties of these tests are also reported. Because the results of applying these tests to the real exchange rates are occasionally inconsistent, tests to synthesize these test results are proposed and applied to the real exchange rates. These tests have often been used in meta-analysis, but have not previously been used to synthesize different test results. Simulation results for these tests are also reported. For the real exchange rate data from the post-Bretton Woods period, these tests reject the null only for the Swiss franc. But when longer-horizon data are used, there is more evidence of serial correlations in the log-differenced real exchange rates. Copyright © 1999 John Wiley & Sons, Ltd.     

Explaining import quality: The role of the income distribution

We examine a generalized version of Flam and Helpman [Flam, H., Helpman, E., 1987. Vertical Product Differentiation and North-South Trade. American Economic Review, 77, 810-822.] in which consumption prices for quality differentiated goods are rising in household income. We provide propositions for aggregating this relationship across heterogenous households to map cross-country differences in income distributions to cross-country differences in import price distributions. The theoretical predictions are examined and confirmed using disaggregated data on prices of traded goods and micro data on household income from the Luxemburg Income Study. Country pairs with more similar income distributions have more similar import price distributions, whether similarity is measured by 1st-4th moment statistics, population and consumption shares within world income and product price quantiles, or income and price dis-similarity indices.     

Hyperbolic normal stochastic volatility model

For option pricing models and heavy-tailed distributions, this study proposes a continuous-time stochastic volatility model based on an arithmetic Brownian motion: a one-parameter extension of the normal stochastic alpha-beta-rho (SABR) model. Using two generalized Bougerol's identities in the literature, the study shows that our model has a closed-form Monte Carlo simulation scheme and that the transition probability for one special case follows Johnson's distribution—a popular heavy-tailed distribution originally proposed without stochastic process. It is argued that the distribution serves as an analytically superior alternative to the normal SABR model because the two distributions are empirically similar.     

Do investors misprice components of net periodic pension cost?

We examine whether and how investors misprice the components of net periodic pension cost under SFAS No. 87 and 158. We find that investors appear to have difficulty in understanding the transitory feature of other net periodic pension cost (PPOPCC) and thus overestimate its persistence, which in turn leads to the mispricing of PPOPCC in the pre‐158 period. We also find that SFAS No. 158 appears to reduce the mispricing of PPOPCC, suggesting a positive effect of SFAS No. 158 on investors' valuation of pension items in the income statement. Additional analysis suggests that investors also overestimate the persistence of, and thus misprice, pension‐related cash flows and accruals in the pre‐158 period and that SFAS No. 158 reduces the mispricing of pension‐related cash flows and accruals.     

ROBOT–BRAND FIT THE INFLUENCE OF BRAND PERSONALITY ON CONSUMER REACTIONS TO SERVICE ROBOT ADOPTION

Marketing Letters - Can every brand benefit from adopting service robots? To tackle this important question, we examined the interactive effects of brand personality (sincere vs. exciting) and...     

Trade diversion effects of the US–China trade war on Vietnam

This paper empirically examines the US–China trade war that began in mid-2018, focusing on the impact on a third country, Vietnam. Using regression analysis, we found that while the trade war had a negative impact on US imports from China for all targeted products, there was a partial offset from increased imports from other countries. Notably, US imports from Vietnam experienced a sharp increase, particularly after the third round of US import tariffs on Chinese goods. Additionally, our research reveals that the four rounds of tariff escalation affected US imports from China differently depending on their end-use and technology intensity.