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...

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...

There is substantial evidence on the influence of political outcomes on the business cycle and stock market. We further hypothesize that uncertainty about the outcome of a U.S. presidential election should be reflected in pre-election common stock returns. Prior research pools returns based on...

This study examines the effect of cash market liquidity on the volatility of stock index futures. Two facets of cash market liquidity are considered: (1) the level of liquidity trading proxied by the expected New York Stock Exchange (NYSE) trading volume and (2) the noise composition of trading...