4 citations · 5 across the 4 of their papers we have counts for
4 papers
Predicting Status of Pre and Post M&A Deals Using Machine Learning and Deep Learning Techniques
Tugce Karatas, Ali Hirsa
Risk arbitrage or merger arbitrage is a well-known investment strategy that speculates on the success of M&A deals. Prediction of the deal status in advance is of great importance…
Supervised Neural Networks for Illiquid Alternative Asset Cash Flow Forecasting
Tugce Karatas, Federico Klinkert, Ali Hirsa
Institutional investors have been increasing the allocation of the illiquid alternative assets such as private equity funds in their portfolios, yet there exists a very limited lit…
Two-Stage Sector Rotation Methodology Using Machine Learning and Deep Learning Techniques
Tugce Karatas, Ali Hirsa
Market indicators such as CPI and GDP have been widely used over decades to identify the stage of business cycles and also investment attractiveness of sectors given market conditi…
Supervised Deep Neural Networks (DNNs) for Pricing/Calibration of Vanilla/Exotic Options Under Various Different Processes
Ali Hirsa, Tugce Karatas, Amir Oskoui
We apply supervised deep neural networks (DNNs) for pricing and calibration of both vanilla and exotic options under both diffusion and pure jump processes with and without stochas…