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{ "item_title" : "Financial Mathematics for Traders", "item_author" : [" Alice Schwartz", "James Preston "], "item_description" : "Reactive PublishingMaster the mathematical foundations that power modern trading with Financial Mathematics for Traders: Essential Probability, Statistics, and Stochastic Processes.This clear and practical guide bridges the gap between theory and trading application. Designed specifically for traders, quants, and finance professionals, it delivers a focused treatment of the core mathematical tools used in quantitative finance and algorithmic trading strategies.What You'll Learn: Probability Theory - Master random variables, distributions, expectations, and conditional probability as they apply to market behavior and risk assessment.Statistical Methods - Build competence in estimation, hypothesis testing, regression analysis, and time-series modeling essential for backtesting and strategy validation.Stochastic Processes - Develop a solid understanding of Brownian motion, martingales, Itcalculus, and diffusion processes that underpin option pricing, risk management, and simulation-based trading models.Each concept is presented with trading-relevant examples, intuitive explanations, and minimal jargon, making complex topics accessible without sacrificing technical rigor. Whether you are developing quantitative models, evaluating trading systems, or seeking a stronger mathematical edge in the markets, this book provides the essential toolkit.Ideal for intermediate to advanced traders, self-taught quants, and finance students looking to move beyond surface-level technical analysis into mathematically grounded decision-making.Financial Mathematics for Traders equips you with the probabilistic and statistical foundation required to think like a professional quant, clearly, confidently, and with precision.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/818/072/9798180727435_b.jpg", "price_data" : { "retail_price" : "33.99", "online_price" : "33.99", "our_price" : "33.99", "club_price" : "33.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Financial Mathematics for Traders|Alice Schwartz

Financial Mathematics for Traders : Essential Probability, Statistics, and Stochastic Processes

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Overview

Reactive Publishing

Master the mathematical foundations that power modern trading with Financial Mathematics for Traders: Essential Probability, Statistics, and Stochastic Processes.

This clear and practical guide bridges the gap between theory and trading application. Designed specifically for traders, quants, and finance professionals, it delivers a focused treatment of the core mathematical tools used in quantitative finance and algorithmic trading strategies.

What You'll Learn:
  • Probability Theory - Master random variables, distributions, expectations, and conditional probability as they apply to market behavior and risk assessment.
  • Statistical Methods - Build competence in estimation, hypothesis testing, regression analysis, and time-series modeling essential for backtesting and strategy validation.
  • Stochastic Processes - Develop a solid understanding of Brownian motion, martingales, It calculus, and diffusion processes that underpin option pricing, risk management, and simulation-based trading models.

Each concept is presented with trading-relevant examples, intuitive explanations, and minimal jargon, making complex topics accessible without sacrificing technical rigor. Whether you are developing quantitative models, evaluating trading systems, or seeking a stronger mathematical edge in the markets, this book provides the essential toolkit.

Ideal for intermediate to advanced traders, self-taught quants, and finance students looking to move beyond surface-level technical analysis into mathematically grounded decision-making.

Financial Mathematics for Traders equips you with the probabilistic and statistical foundation required to think like a professional quant, clearly, confidently, and with precision.

This item is Non-Returnable

Details

  • ISBN-13: 9798180727435
  • ISBN-10: 9798180727435
  • Publisher: Independently Published
  • Publish Date: June 2026
  • Dimensions: 9 x 6 x 1.06 inches
  • Shipping Weight: 1.13 pounds
  • Page Count: 428

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