1 citations · 2 across the 7 of their papers we have counts for
4 papers · 1 filter
Foundation Time-Series AI Model for Realized Volatility Forecasting
Anubha Goel, Puneet Pasricha, Martin Magris +1
Time series foundation models (FMs) have emerged as a popular paradigm for zero-shot multi-domain forecasting. These models are trained on numerous diverse datasets and claim to be…
Time-Series Foundation AI Model for Value-at-Risk Forecasting
Anubha Goel, Puneet Pasricha, Juho Kanniainen
This study is the first to analyze the performance of a time-series foundation AI model for Value-at-Risk (VaR), which essentially forecasts the left-tail quantiles of returns. Fou…
Empirical Asset Pricing via Ensemble Gaussian Process Regression
Damir Filipović, Puneet Pasricha
We introduce an ensemble learning method based on Gaussian Process Regression (GPR) for predicting conditional expected stock returns given stock-level and macro-economic informati…
A contagion process with self-exciting jumps in credit risk applications
Puneet Pasricha, Dharmaraja Selvamuthu, Selvaraju Natarajan
The modeling of the probability of joint default or total number of defaults among the firms is one of the crucial problems to mitigate the credit risk since the default correlatio…