Development of a low-cost anode for sodium (Na) ion battery (NIB) has become the most desirable target in today’s energy demanding society. In this work, we present different treatments of sugarcane biomass to alter the lignocellulose compositions to obtain low-cost porous carbon as NIB’s...

We use machine learning techniques to conduct out-of-sample predictions of the underpricing of U.S. initial public offerings (IPOs) from 1990 to 2019. Using predicted underpricing based on ex ante information to sort the IPOs into 10 groups, we find that the underpricing averages for the top and...

In this article we examine the interaction of brokerage search with the Bayesian learning behavior of competitive dealers under asymmetric information. We particularly focus on the effects of price search and discretionary trading on the performance of a dealer market. A search process is...

This paper examines the relationship among daily information flow, return volatility, and bid-ask spreads based on the framework of the mixture of distribution hypothesis (MDH). The MDH model is modified to permit separate effects of informed and liquidity trading volume on return volatility....

Previous research indicates that the maximum likelihood estimates of Generalized Autoregressive Conditional Heteroscedasticity (GARCH) models on foreign exchange rates, under various distributional assumptions, are sensitive to the presence of outliers. The advantage of the proposed Bounded...

This paper examines the dynamic behavior of the NCREIF index. NCREIF total return and appreciation indexes are smooth and exhibit strong autocorrelation and autoregressive heteroskedasticity. We test the information transmission from the NAREIT index to the NCREIF index. In our VAR analysis, the...