Game Theory Models for Trading, Risk, and Quant Strategy: Predictive Market Behavior

Name: Game Theory Models for Trading, Risk, and Quant Strategy: Predictive Market Behavior
Brand: Independently Published
SKU: 9798244524321
Price: 2891.0 INR
Availability: InStock

by Alice Schwartz , Vincent Bisette , Hayden Van Der Post

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ISBN13: 9798244524321
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: January 18, 2026
Pages: 456
Original Price: GBP 25.4
Language: English
Edition: N/A
Item Weight: 604 grams
BISAC Subject(s): Finance / Financial Engineering

About The Book

Reactive Publishing

Financial markets are competitive ecosystems. Every trade is a strategic interaction, every price move an expression of incentives, information, and probability. This book treats markets as games and traders as agents, modeling their behavior with rigor, extracting predictive structure, and translating it into systematic edge.

Game Theory Models for Trading, Risk, and Quant Strategy integrates strategic decision theory, behavioral finance, and quantitative modeling to examine how market outcomes emerge from interacting participants. Instead of treating prices as exogenous data, it analyzes how expectations, bluffing, signaling, and information asymmetry shape volatility, liquidity, spreads, and execution.

Inside you will learn:

- How strategic interaction frameworks improve forecasting and risk assessment
- How signaling, incentives, and asymmetric information influence price behavior
- How to integrate behavioral biases into quantitative models
- How to use cooperative vs non-cooperative game structures for trading scenarios
- How to apply formal game theory to order flow, liquidity, and price formation
- How edge is created, defended, and eroded in competitive market environments
- Why prediction requires modeling agents, not just time series
- How market structure affects strategy, execution, and systemic risk

Designed for quantitative analysts, traders, researchers, and students of financial strategy, the book emphasizes practical utility over mathematical abstraction. Models are demonstrated with real-world applications, execution implications, and strategic takeaways that can be deployed in systematic frameworks or discretionary decision-making.

In an environment where alpha is increasingly scarce and market participants are increasingly sophisticated, forecasting market behavior demands more than statistical pattern recognition. It requires understanding how other players think, act, and adapt.

This book offers that lens, bridging theory and practice to help quants, traders, and strategists build more informed, resilient, and adaptive models for a competitive financial world.

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