Imagine you are training an AI to play chess. Whenever it makes a wrong move, you point out the mistake and explain the reason. In the world of deep learning, the Loss Function plays a similar role.

We investigate the relative importance of various factors in explaining the volatility skew observed in the prices of stock options traded on the Chicago Board Options Exchange. The skewness of the ...

Electromagnetic Spectrum (EMS) operations in contested environments require battlefield assumptions based on mission dependent factors and complex ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Patterns of spatial structural change are investigated for eight Functional Economic Areas in North Carolina, South Carolina, and Georgia. Residential population density functions are estimated using ...

Falling interest rates and lower volatility could help JEPI reduce realized losses, but they also shrink option premiums.

The oceans quietly shape Earth's climate. Behind this immense mechanism, one particular current draws researchers' attention: the AMOC, whose future now appears threatened. Scientists are ...

The JSON tool is a configurable component used for handling JSON data formats. Through visual configuration, it can achieve data initialization, parsing, transformation, and transmission, effectively ...

By leveraging the Protein Mutation Effect Predictor (ProMEP), AI-AncBE4max, a high-performance Cas9 variant with eight ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...