Generative Adversarial Net (GAN) has been proven to be a powerful machine learning tool in image data analysis and generation. In this paper, we propose to use Conditional Generative Adversarial Net (CGAN) to learn and simulate time series data. The conditions can be both categorical and...

This paper tests the null hypothesis of stationarity against the alternative of changes in persistence for sequences in the domain of attraction of a stable law. The proposed moving ratio test is valid for multiple changes in persistence while the previous residual based ratio tests are designed...

This paper examines the diversification benefits of iShares in comparison to closed-end country funds (CECFs) and American Depository Receipts (ADRs) between April 1996 and December 2013. iShares are country-specific exchange traded funds that track specific Morgan Stanley Capital International...