8 citations · 13 across the 7 of their papers we have counts for
9 papers
Post trade allocation: how much are bunched orders costing your performance?
Ali Hirsa, Massoud Heidari
Individual trade orders are often bunched into a block order for processing efficiency, where in post execution, they are allocated into individual accounts. Since Regulators have…
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…
Deep reinforcement learning on a multi-asset environment for trading
Ali Hirsa, Joerg Osterrieder, Branka Hadji-Misheva +1
Financial trading has been widely analyzed for decades with market participants and academics always looking for advanced methods to improve trading performance. Deep reinforcement…
Explainable AI in Credit Risk Management
Branka Hadji Misheva, Joerg Osterrieder, Ali Hirsa +2
Artificial Intelligence (AI) has created the single biggest technology revolution the world has ever seen. For the finance sector, it provides great opportunities to enhance custom…