Papers, wiki, Option Blackboard, encyclopedia, and cards.
We study model-driven statistical arbitrage in U.S. equities. The trading signals are generated in two ways: using Principal Component Analysis and using sector ETFs. In both cases, we consider the residuals, or idio-syncratic components of stock returns, and model them as mean-reverting processes. This leads naturally to “contrarian ” trading signals. The main contribution of the paper is the construction, back-test…
We develop a rigorous walk-forward validation framework for algorithmic trading designed to mitigate overfitting and lookahead bias. Our methodology combines interpretable hypothesis-driven signal generation with reinforcement learning and strict out-of-sample testing. The framework enforces strict information set discipline, employs rolling window validation across 34 independent test periods, maintains complete int…
Accurate volatility forecasts are vital in modern finance for risk management, portfolio allocation, and strategic decision-making. However, existing methods face key limitations. Fully multivariate models, while comprehensive, are computationally infeasible for realistic portfolios. Factor models, though efficient, primarily use static factor loadings, failing to capture evolving volatility co-movements when they ar…
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…
This study examines active liquidity management by Indian open-ended equity mutual funds. We find that fund managers respond to inflows by increasing cash holdings, which are later used to purchase less-liquid stocks at favourable valuations. Funds with less liquid portfolios tend to maintain larger cash reserves to manage flows. Funds that make active liquidity choices yield statistically and economically significan…
Equity auctions display several distinctive characteristics in contrast to continuous trading. As the auction time approaches, the rate of events accelerates causing a substantial liquidity buildup around the indicative price. This, in turn, results in a reduced price impact and decreased volatility of the indicative price. In this study, we adapt the latent/revealed order book framework to the specifics of equity au…
We postulates, and then show experimentally, that liquidity deficit is the driving force of the markets. In the first part of the paper a kinematic of liquidity deficit is developed. The calculus-like approach, which is based on Radon--Nikodym derivatives and their generalization, allows us to calculate important characteristics of observable market dynamics. In the second part of the paper this calculus is used in a…
This paper introduces a new risk-on risk-off strategy for the stock market, which combines a financial stress indicator with a sentiment analysis done by ChatGPT reading and interpreting Bloomberg daily market summaries. Forecasts of market stress derived from volatility and credit spreads are enhanced when combined with the financial news sentiment derived from GPT-4. As a result, the strategy shows improved perform…
This study develops and evaluates a deep reinforcement learning framework for dynamic portfolio allocation across global equity markets. The Soft Actor-Critic algorithm is used to learn continuous portfolio weights within a Markov Decision Process, incorporating transaction costs, turnover penalties, and diversification constraints into the reward function. Five model configurations are compared, varying in reward fo…
In response to growing demand for resilient and transparent financial instruments, we introduce a novel framework for replicating private equity (PE) performance using liquid, AI-enhanced strategies. Despite historically delivering robust returns, private equity's inherent illiquidity and lack of transparency raise significant concerns regarding investor trust and systemic stability, particularly in periods of height…
Cross-market portfolio optimization has become increasingly complex with the globalization of financial markets and the growth of high-frequency, multi-dimensional datasets. Traditional artificial neural networks, while effective in certain portfolio management tasks, often incur substantial computational overhead and lack the temporal processing capabilities required for large-scale, multi-market data. This study in…
This study investigates whether regime-dependent volatility forecasting and machine-learning-based return prediction can be jointly integrated to improve both statistical forecasting performance and economic strategy outcomes in equity markets. Using high-frequency CSI 300 Index data from 2005 to 2023, a sequential twostage framework is developed. In the first stage, realized volatility is modeled using regime-augmen…
We introduce the Historical and Dynamic Volatility Ratios (HVR/DVR) and show that equity and index volatilities are cointegrated at intraday and daily horizons. This allows us to construct a VECM to forecast portfolio volatility by exploiting volatility cointegration. On S&P 500 data, HVR is generally stationary and cointegration with the index is frequent; the VECM implementation yields substantially lower mean abso…
The primary objective of this study was to examine the impact of the US sovereign credit rating downgrade on its equity market. Utilizing the event study methodology, a sample of three most capitalized listed companies -- Microsoft, Apple, and Amazon -- and the equity market index -- S&P500 -- were used as the proxy for the overall equity market. Three market models were constructed within the estimation window to de…
Unlike developed market, some emerging markets are dominated by retail and unprofessional trading. China A share market is a good and fitting example in last 20 years. Meanwhile, lots of research show professional investor in China A share market continuously generate excess return compare with total market index. Specifically, this excess return mostly come from stock selectivity ability instead of market timing. Ho…
The time proximity of trades across stocks reveals interesting topological structures of the equity market in the United States. In this article, we investigate how such concurrent cross-stock trading behaviors, which we denote as co-trading, shape the market structures and affect stock price co-movements. By leveraging a co-trading-based pairwise similarity measure, we propose a novel method to construct dynamic net…
In this paper we address three main objections of behavioral finance to the theory of rational finance, considered as anomalies the theory of rational finance cannot explain: Predictability of asset returns, The Equity Premium, (The Volatility Puzzle. We offer resolutions of those objections within the rational finance. We do not claim that those are the only possible explanations of the anomalies, but offer statisti…
Using a proprietary dataset of meta-orders and prediction signals, and assuming a quasi-linear impact model, we deconvolve market impact from past correlated trades and a predictable return component to elicit the temporal dependence of the market impact of a single daily meta-order, over a ten day horizon in various equity markets. We find that the impact of single meta-orders is to a first approximation universal a…
KBW Bank Index tracks the equity performance of major U.S. banks and provides insight into banking-sector health, credit transmission, and market confidence.
S&P 500 Earnings Yield measures expected earnings relative to price and is useful for assessing valuation and comparing equities with bond yields.
A Financial Conditions Index aggregates variables such as rates, credit spreads, equities, and the dollar to measure how supportive or restrictive the market environment is for growth and risk assets.
Equity Risk Premium measures the excess return investors expect from equities over risk-free assets and is a core framework for evaluating relative equity valuation.
Limit Order Book US equities — Execution quality, book dynamics, or venue microstructure concept.
Limit Order Book EU equities — Execution quality, book dynamics, or venue microstructure concept.
Queue Position US equities — Execution quality, book dynamics, or venue microstructure concept.
Queue Position EU equities — Execution quality, book dynamics, or venue microstructure concept.
Adverse Selection US equities — Execution quality, book dynamics, or venue microstructure concept.
Adverse Selection EU equities — Execution quality, book dynamics, or venue microstructure concept.
Effective Spread US equities — Execution quality, book dynamics, or venue microstructure concept.
Effective Spread EU equities — Execution quality, book dynamics, or venue microstructure concept.
Implementation Shortfall US equities — Execution quality, book dynamics, or venue microstructure concept.
Implementation Shortfall EU equities — Execution quality, book dynamics, or venue microstructure concept.
Arrival Price Slippage US equities — Execution quality, book dynamics, or venue microstructure concept.
Arrival Price Slippage EU equities — Execution quality, book dynamics, or venue microstructure concept.
VWAP Tracking Error US equities — Execution quality, book dynamics, or venue microstructure concept.
VWAP Tracking Error EU equities — Execution quality, book dynamics, or venue microstructure concept.
TWAP Schedule US equities — Execution quality, book dynamics, or venue microstructure concept.
TWAP Schedule EU equities — Execution quality, book dynamics, or venue microstructure concept.
POV Participation US equities — Execution quality, book dynamics, or venue microstructure concept.
POV Participation EU equities — Execution quality, book dynamics, or venue microstructure concept.
Iceberg Detection US equities — Execution quality, book dynamics, or venue microstructure concept.
Iceberg Detection EU equities — Execution quality, book dynamics, or venue microstructure concept.
Dark Pool Fill US equities — Execution quality, book dynamics, or venue microstructure concept.
Dark Pool Fill EU equities — Execution quality, book dynamics, or venue microstructure concept.
Lit Fragmentation US equities — Execution quality, book dynamics, or venue microstructure concept.
Lit Fragmentation EU equities — Execution quality, book dynamics, or venue microstructure concept.
Smart Router Path US equities — Execution quality, book dynamics, or venue microstructure concept.
Smart Router Path EU equities — Execution quality, book dynamics, or venue microstructure concept.
Tick Size Effect US equities — Execution quality, book dynamics, or venue microstructure concept.
Tick Size Effect EU equities — Execution quality, book dynamics, or venue microstructure concept.
Maker Rebate US equities — Execution quality, book dynamics, or venue microstructure concept.
Maker Rebate EU equities — Execution quality, book dynamics, or venue microstructure concept.
Taker Fee Edge US equities — Execution quality, book dynamics, or venue microstructure concept.
Taker Fee Edge EU equities — Execution quality, book dynamics, or venue microstructure concept.
Adverse Selection EU equities — Execution quality, book dynamics, or venue microstructure concept.
Adverse Selection US equities — Execution quality, book dynamics, or venue microstructure concept.
Arrival Price Slippage EU equities — Execution quality, book dynamics, or venue microstructure concept.
Arrival Price Slippage US equities — Execution quality, book dynamics, or venue microstructure concept.
Auction Imbalance EU equities — Execution quality, book dynamics, or venue microstructure concept.
Auction Imbalance US equities — Execution quality, book dynamics, or venue microstructure concept.
Close Cross Pressure EU equities (Microstructure).
Close Cross Pressure US equities (Microstructure).
Colocation Edge EU equities (Microstructure).
Colocation Edge US equities (Microstructure).
Dark Pool Fill EU equities — Execution quality, book dynamics, or venue microstructure concept.
Dark Pool Fill US equities — Execution quality, book dynamics, or venue microstructure concept.
Effective Spread EU equities — Execution quality, book dynamics, or venue microstructure concept.
Effective Spread US equities — Execution quality, book dynamics, or venue microstructure concept.
Equity Risk Premium measures the excess return investors expect from equities over risk-free assets and is a core framework for evaluating relative equity valuation.
A Financial Conditions Index aggregates variables such as rates, credit spreads, equities, and the dollar to measure how supportive or restrictive the market environment is for growth and risk assets.
Iceberg Detection EU equities — Execution quality, book dynamics, or venue microstructure concept.
Iceberg Detection US equities — Execution quality, book dynamics, or venue microstructure concept.
Implementation Shortfall EU equities — Execution quality, book dynamics, or venue microstructure concept.
Implementation Shortfall US equities — Execution quality, book dynamics, or venue microstructure concept.
Inventory Skew MM EU equities (Microstructure).
Inventory Skew MM US equities (Microstructure).
Latency Arb Window EU equities (Microstructure).
Latency Arb Window US equities (Microstructure).