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Results for “recession signal” · papers 6 · wiki 2
Academic Papers · 6arXiv q-fin live 0 · desk corpus 6
OpenAlex · European Finance Review · 2014 · cites 64

Assessing Measures of Order Flow Toxicity and Early Warning Signals for Market Turbulence

Abstract Following the “flash crash” on May 6, 2010, warning signals for impending market stress have been in high demand, yet only the VPIN metric of Easley, López de Prado, and O’Hara (ELO) has claimed success. In addition, ELO find the metric useful in predicting short-term volatility. VPIN involves decomposing volume into active buys and sells. We utilize quotes and trade data to construct an accurate trade class

Torben G. Andersen, Oleg Bondarenko
arXiv · arXiv · 2026

Retail Trader's Ruin: An Anatomy of Popular Signal Failure

We test whether five widely promoted retail signal families - trend, oscillator, candlestick, volume, and calendar rules - deliver a positive, economically meaningful, net-of-cost, and survivable edge. Practical viability is the conjunction of three predeclared gates: statistical edge after multiplicity correction, economic viability after trading costs, and finite-bankroll survival under leverage. Exposure-matched b

Adam Darmanin
arXiv · arXiv · 2026

Signature-Based Optimal Execution for Statistical Arbitrage with Path-Dependent Trading Signals

We develop a signature-based framework for optimal execution in statistical arbitrage strategies with path-dependent predictive signals. Both the alpha process and the trading speed are modelled as linear functionals of the truncated signature of a time-augmented market path, placing signal generation and execution on the same truncated signature basis. This allows the trading rule to react to the realised history of

Gianmarco Morbelli, Sven Karbach, Mike Derksen
arXiv · arXiv · 2026

Rotational Fluorescence Recovery after Orientational Photobleaching via surface electromagnetic waves on dielectric stacks

Protein rotational kinetics are essential for understanding macromolecular behavior in crowded environments, yet measuring these dynamics at solid-liquid interfaces remains a significant challenge due to low signal strengths. Here, we experimentally demonstrate a label-based optical technique for measuring rotational diffusion kinetics using an all-dielectric multilayer stack that sustains both transverse electric an

Francesco Michelotti, Elisabetta Sepe, Agostino Occhicone, Norbert Danz, Alberto Sinibaldi
arXiv · arXiv · 2026

Stabilizing Rubric Integration Training via Decoupled Advantage Normalization

We propose Process-Aware Policy Optimization (PAPO), a method that integrates process-level evaluation into Group Relative Policy Optimization (GRPO) through decoupled advantage normalization, to address two limitations of existing reward designs. Outcome reward models (ORM) evaluate only final-answer correctness, treating all correct responses identically regardless of reasoning quality, and gradually lose the advan

Zelin Tan, Zhouliang Yu, Bohan Lin, Zijie Geng, Hejia Geng
arXiv · arXiv · 2025

Statistical Arbitrage in Polish Equities Market Using Deep Learning Techniques

We study a systematic approach to a popular Statistical Arbitrage technique: Pairs Trading. Instead of relying on two highly correlated assets, we replace the second asset with a replication of the first using risk factor representations. These factors are obtained through Principal Components Analysis (PCA), exchange traded funds (ETFs), and, as our main contribution, Long Short Term Memory networks (LSTMs). Residua

Marek Adamczyk, Michał Dąbrowski
Wiki Entities · 2
Option Blackboard · 0
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Encyclopedia · 1
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