A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
Optimizes bookmaking strategies for market prices.
Study proposes new methods to convert betting odds into accurate probabilities for sports forecasting.
Researchers analyze betting odds and free coupons to find exploitable gains.
A hybrid machine learning model predicts soccer match scores for FIFA Women's World Cups.
Kelly criterion, that maximizes the expectation value of the logarithm of wealth for bookmaker bets, gives an advantage over different class of strategies. We use projective symmetries for a explanation of this fact. Kelly's approach allows for an interesting financial interpretation of the Boltzmann/Shannon entropy. A…
Study confirms mispricing in sportsbooks but finds data issues affect results.
Study predicts cricket match outcomes using machine learning.