A comprehensive market risk project comparing three volatility-adaptive VaR models across three correlation scenarios for a four-asset GBP-denominated equity portfolio (Nike, Citibank, Commerzbank, ...
A modular Python / FastAPI / React platform for systematic strategy research: signal generation, regime classification, risk-aware portfolio construction, execution-cost-aware backtesting, and an ...
Volatility forecasting is a key component of modern finance, used in asset allocation, risk management, and options pricing. Investors and traders rely on precise volatility models to optimize ...
The study applies a Kalman filter (KF) to Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models to create a hybrid model, to estimate the parameters of the GARCH model in the ...
The excerpt from the 20th CPC National Congress report underscores the pressing need to address significant challenges in averting financial risks. It emphasizes the importance of fortifying the ...
Abstract: The cost of renewable power price is coming down with increased modest methods in the electricity market. When it is to benefit both the producers and consumers of electricity, a next-day ...
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