Law of iterated logarithm derived from betting strategy.
arXiv research
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.
Trend · papers per month
Testing-by-betting strategies almost surely go bankrupt under null hypotheses.
Inefficient markets allow investors to consistently outperform the market. To demonstrate that inefficiencies exist in sports betting markets, we created a betting algorithm that generates above market returns for the NFL, NBA, NCAAF, NCAAB, and WNBA betting markets. To formulate our betting strategy, we collected and …
This paper optimizes sports betting strategies using neural networks and portfolio theory.
New betting strategy reduces regret to ln(ln n) with protection against adversarial data.
Investigates sports betting strategies using modern portfolio theory and Kelly criterion.
Study compares financial and gambling markets, finding similarities and potential applications.
Optimal strategies are found for a repeated betting game using diffusion approximation.
We propose procedures for testing whether stock price processes are martingales based on limit order type betting strategies. We first show that the null hypothesis of martingale property of a stock price process can be tested based on the capital process of a betting strategy. In particular with high frequency Markov …
We propose a betting strategy based on Bayesian logistic regression modeling for the probability forecasting game in the framework of game-theoretic probability by Shafer and Vovk (2001). We prove some results concerning the strong law of large numbers in the probability forecasting game with side information based on …
Sequential tests for two-sample and independence testing using betting strategies.
Proposes a new factor to improve BAB strategies by recognizing bad-beta assets.
Study confirms mispricing in sportsbooks but finds data issues affect results.
We propose a novel "tree-averaging" model that utilizes the ensemble of classification and regression trees (CART). Each constituent tree is estimated with a subset of similar data. We treat this grouping of subsets as Bayesian ensemble trees (BET) and model them as an infinite mixture Dirichlet process. We show that B…
Modeling horse race betting odds with Ornstein-Uhlenbeck process.
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…
The original Kelly criterion provides a strategy to maximize the long-term growth of winnings in a sequence of simple Bernoulli bets with an edge, that is, when the expected return on each bet is positive. The objective of this work is to consider more general models of returns and the continuous time, or high frequenc…
BBE simulates sports betting exchanges for data generation.
BBE simulates betting exchanges to generate synthetic data for AI research.
Sequential Kernel-based Conditional Independence Testing via Adaptive Betting
A new method combines multiple bounds and betting strategies for selective prediction, improving risk coverage in data-scarce settings.
The study finds lottery tickets with positive expected returns are not worth buying.
The main purpose of this study is to introduce a semi-classical model describing betting scenarios in which, at variance with conventional approaches, the payoff of the gambler is encoded into the internal degrees of freedom of a quantum memory element. In our scheme, we assume that the invested capital is explicitly a…
Study analyzes gambling behavior and risk attitudes using blockchain data.
Chances of a gambler are always lower than chances of a casino in the case of an ideal, mathematically perfect roulette, if the capital of the gambler is limited and the minimum and maximum allowed bets are limited by the casino. However, a realistic roulette is not ideal: the probabilities of realisation of different …
Optimal Kelly strategy for multi-outcome parlay bets proven using implicit cash approach.
Kelly betting is a prescription for optimal resource allocation among a set of gambles which are typically repeated in an independent and identically distributed manner. In this setting, there is a large body of literature which includes arguments that the theory often leads to bets which are "too aggressive" with resp…
What would you do if you were invited to play a game where you were given \$25 and allowed to place bets for 30 minutes on a coin that you were told was biased to come up heads 60% of the time? This is exactly what we did, gathering 61 young, quantitatively trained men and women to play this game. The results, in a nut…
Optimizes financial decisions with illiquid assets using Kelly criterion.
Two methods extend multivariate Kelly optimization to large problem sizes.
We study multistep Bayesian betting strategies in coin-tossing games in the framework of game-theoretic probability of Shafer and Vovk (2001). We show that by a countable mixture of these strategies, a gambler or an investor can exploit arbitrary patterns of deviations of nature's moves from independent Bernoulli trial…
Paper tightens PAC-Bayes bounds using coin-betting for better estimates.
In the UK betting market, bookmakers often offer a free coupon to new customers. These free coupons allow the customer to place extra bets, at lower risk, in combination with the usual betting odds. We are interested in whether a customer can exploit these free coupons in order to make a sure gain, and if so, how the c…
Paper approximates Kelly betting for wealth growth.
Gamblers lose in long bets despite casino claims, study shows.
We introduce a general framework for continuous-time betting markets, in which a bookmaker can dynamically control the prices of bets on outcomes of random events. In turn, the prices set by the bookmaker affect the rate or intensity of bets placed by gamblers. The bookmaker seeks a price process that maximizes his exp…
Enhanced ICM ensemble detects concept drift better with novel betting functions.
The betting CI outperforms classical methods in constructing confidence intervals for bounded means.
Study proposes new methods to convert betting odds into accurate probabilities for sports forecasting.
PEAK tests means of multiple data streams with sequential betting.
Quantum strategy optimizes wealth growth in a double-or-nothing game.
The study shows how probability weighting can lead to betting in a risk-averse economy.
Paper introduces new risk measures for Kelly criterion.
This work examines the effects of allowing borrowing in betting-based hypothesis testing.
We develop a model of how information flows into a market, and derive algorithms for automatically detecting and explaining relevant events. We analyze data from twenty-two "political stock markets" (i.e., betting markets on political outcomes) on the Iowa Electronic Market (IEM). We prove that, under certain efficienc…
Markowitz' celebrated optimal portfolio theory generally fails to deliver out-of-sample diversification. In this note, we propose a new portfolio construction strategy based on symmetry arguments only, leading to "Eigenrisk Parity" portfolios that achieve equal realized risk on all the principal components of the covar…
Tennis is a popular sport worldwide, boasting millions of fans and numerous national and international tournaments. Like many sports, tennis has benefitted from the popularity of rigorous record-keeping of game and player information, as well as the growth of machine learning methods for use in sports analytics. Of par…
Scores political leanings in Web3 betting markets.