Title
Stochastic Methods In Economics And Finance (Volume 17) (Advanced Textbooks In Economics, Volume 17),New
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Theory And Application Of A Variety Of Mathematical Techniques In Economics Are Presented In This Volume. Topics Discussed Include: Martingale Methods, Stochastic Processes, Optimal Stopping, The Modeling Of Uncertainty Using A Wiener Process, It'S Lemma As A Tool Of Stochastic Calculus, And Basic Facts About Stochastic Differential Equations. The Notion Of Stochastic Ability And The Methods Of Stochastic Control Are Discussed, And Their Use In Economic Theory And Finance Is Illustrated With Numerous Applications.The Applications Covered Include: Futures, Pricing, Job Search, Stochastic Capital Theory, Stochastic Economic Growth, The Rational Expectations Hypothesis, A Stochastic Macroeconomic Model, Competitive Firm Under Price Uncertainty, The Blackscholes Option Pricing Theory, Optimum Consumption And Portfolio Rules, Demand For Index Bonds, Term Structure Of Interest Rates, The Market Risk Adjustment In Project Valuation, Demand For Cash Balances And An Asset Pricing Model.
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- Q: What is the page count of the book? A: This book contains three hundred three pages. It provides extensive coverage of stochastic methods in economics and finance.
- Q: What are the dimensions of the book? A: The book measures six point fourteen inches in length, zero point seventy-five inches in width, and nine point twenty-one inches in height. These dimensions make it a standard hardcover size.
- Q: What binding type does this book have? A: This book is bound in hardcover. This binding type offers durability and a professional appearance.
- Q: Who is the author of this book? A: The author of this book is A.G. Malliaris. He is known for his contributions to economics and finance literature.
- Q: What topics are covered in this book? A: The book covers various topics including martingale methods and stochastic processes. It also discusses the application of these methods in economic theory and finance.
- Q: How can I apply the concepts from this book? A: You can apply the concepts by exploring the numerous applications described, such as futures pricing and stochastic capital theory. These applications are relevant for practitioners in economics and finance.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for those with a basic understanding of economics. However, familiarity with mathematical concepts will enhance comprehension.
- Q: Can I use this book for academic purposes? A: Yes, this book is well-suited for academic purposes. It can serve as a textbook for advanced courses in economics and finance.
- Q: Are there real-world applications mentioned in the book? A: Yes, the book illustrates real-world applications such as job search models and the Black-Scholes option pricing theory. These examples provide practical insights into the theories discussed.
- Q: What is the best way to store this book? A: Store this book upright on a shelf to maintain its shape. Avoid placing heavy items on top to prevent damage to the binding.
- Q: How do I clean the book? A: To clean the book, gently wipe the cover with a soft, dry cloth. Avoid using liquids, as they could damage the pages.
- Q: Is this book a good choice for finance professionals? A: Yes, this book is an excellent choice for finance professionals. It provides in-depth analysis and applications of stochastic methods in their field.
- Q: What if the book arrives damaged? A: If the book arrives damaged, you should contact the seller for a return or exchange. Most retailers have a policy in place for damaged items.
- Q: How can I get support if I have questions about the book? A: For support, you can reach out to the publisher or check online forums for discussions related to the book's content.
- Q: What genres does this book belong to? A: This book belongs to the genres of econometrics and statistics. It is part of the Advanced Textbooks in Economics series.
- Q: Does the book cover stochastic control methods? A: Yes, the book discusses methods of stochastic control. These methods are essential for modeling uncertainty in economic scenarios.