An economic-statistical design of double sampling control chart

The double sampling (DS) chart can reduce the sample size when monitoring the process mean. In this study, Duncan's cost model was modified by adding the statistical constraints to develop the design model of DS chart for the optimization of design parameters—sample size, control limit coefficient, warning limit coefficient and sampling interval. A numerical example was provided to illustrate the use of this model. A sensitivity analysis of the effects of model parameters and statistical constraints on the optimal design of DS chart was also performed.     

Price Transmission Effect between GDRs and Their Underlying Stocks—Evidence from Taiwan

In this paper we examine the price transmission effect between ADRs or GDRs and their respective underlying stocks. This linkage is investigated for Granger causality using difference form and VECM. Results reveal unidirectional causality from Taiwan's capital market to the foreign market. This asymmetry suggests the domestic market plays a dominant role in price transmission relative to the foreign market. Besides, the prices of both markets will make adjustment to establish a long run cointegrated equilibrium. An additional finding is that both the premium and net buy have significant impacts on international price transmission for over twenty percent samples. Empirical outcomes also provide the evidence that our model is quite robust.     

Co-determination of capital structure and stock returns—A LISREL approach: An empirical test of Taiwan stock markets

Titman and Wessels (1988) utilize a structural-equations model (LISREL) to find out the latent determinants of capital structure. Maddala and Nimalendran (1996) indicate that the problematic model specification causes the poor results in Titman and Wessels’ research. Chang, Lee, & Lee (2009) apply a Multiple Indicators and Multiple Causes (MIMIC) model to re-examine the same issue as Titman and Wessels did but found more convincing results. We extend Titman and Wessels’ research from using a single-equation approach to a multi-equations approach. In addition to the determinants of firms’ capital structure, those of stock returns are determined simultaneously. Literature indicates that a firm's capital structure may affect its stock returns (Bhandari, 1988), and the reverse is true too (Baker and Wurgler, 2002, Lucas and McDonald, 1990, Welch, 2004). Hence, a firm's determinants of its capital structure and those of its stock returns should be decided simultaneously, rather than independently. By solving the simultaneous equations, we examine the empirical relationship between the two endogenous variables: capital structure and stock returns and find out their common determinants as well. Our results show that stock returns, expected growth, uniqueness, asset structure, profitability, and industry classification are the main factors of capital structure, while the primary determinants of stock returns are leverage, expected growth, profitability, value and liquidity. The level of debt ratios and stock returns are mutually determined by the aforementioned factors and themselves.     

Does switching from NASDAQ to the NYSE affect investment–cash flow sensitivity?

We examine whether a firm's sensitivity of investments to cash flow changes when it switches from the NASDAQ to the NYSE over the period 1992–2002. Contrary views exist on the effect of listing switches on investment sensitivity to cash flow. Investment–cash flow sensitivity is a proxy for the degree of uncertainty of using internal funds to finance a firm's investments. We use a least square dummy variable model to analyze panel data before and after switching to determine the impact of switching. Based on pooled data, our evidence is consistent with the view that NASDAQ-to-NYSE switchers have significantly lower investment–cash flow sensitivity, which means that firms rely less heavily on internal financing after switching and find accessing external financing easier. Thus, firms may benefit from switching in terms of a lower cost of external capital due to such factors as increasing visibility, liquidity, and reputation.