This study aims to examine the impacts of a bond fund segregation policy event on Taiwan mutual fund industry. In principle, mutual fund industry is a highly regulated industry. However, bond funds focus on pursuing short-term high returns and increasing their scale by investing in structured...

Due to the market’s integrity and lack of liquidity of Taiwan’s bond market, a bond manager finds it difficult to flexibly adjust portfolio allocation and systemic risk. No matter in the T-M model, T-M ARMAX-GARCH model, or H-M ARMAX-GARCH model, this study’s results show that most bond...

The article discuss the relationship between US REITs and Japan REITs. In empirical study, we apply five static ARMAX-GJR-GARCH copula models and two time-varying dynamic copula models. The results show that the kendall tau is lower before the submortgage crisis. The contagion effect test...

This paper employs weighted least squares to examine the risk-return relation by applying high-frequency data from four major stock indexes in the US market and finds some evidence in favor of a positive relation between the mean of the excess returns and expected risk. However, by using...

Uncovered interest rate parity (UIRP) provides a crucial theoretical concept for many models in international finance and international monetary economics. Using quarterly data span from 1998Q1 to 2010Q3, we run conventional regressions (OLS) and simple GARCH analysis on UIRP for the case of...

This paper investigates dynamic correlations of stock-bond returns for different stock indices and bond maturities. Evidence in the US shows that stock-bond relations are time-varying and display a negative trend. The stock-bond correlations are negatively correlated with implied volatilities in...

Generalized Information Matrix Tests (GIMTs) have recently been used for detecting the presence of misspecification in regression models in both randomized controlled trials and observational studies. In this paper, a unified GIMT framework is developed for the purpose of identifying,...

Studies employing Arellano-Bond and Blundell-Bond generalized method of moments (GMM) estimation for linear dynamic panel data models are growing exponentially in number. However, for researchers it is hard to make a reasoned choice between many different possible implementations of these...

Numerous heavy-tailed distributions are used for modeling financial data and in problems related to the modeling of economics processes. These distributions have higher peaks and heavier tails than normal distributions. Moreover, in some situations, we cannot observe complete information about...