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SKU/Artículo: AMZ-B0DLWXPRCB
Money and Banking Basics: With Python (Richman Computational Economics)
Format:
Hardcover
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.77 kg
0.77 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Book Description:Unlock the secrets of financial mastery with this comprehensive guide to money and banking principles. From foundational concepts to advanced financial models, this resource is perfect for anyone looking to deepen their understanding of banking, finance, and investment strategies. With step-by-step Python code examples accompanying each chapter, you'll have practical tools to apply complex financial theories to real-world scenarios. Whether you're a student, a finance professional, or someone keen on personal finance, this book guides you through the myriad nuances of financial mathematics and strategic planning.Key Features:Detailed explanations of fundamental and advanced financial principles.Step-by-step Python code to apply what you learn practically.Over 60 enlightening chapters covering essential concepts and strategies.Real-world applications for personal finance, banking, and investment planning.Comprehensive coverage of financial formulas, lending, risk management, and more.What You Will Learn:Calculate simple interest with practical Python implementations.Understand the intricacies of the compound interest formula.Determine the present value of future money with step-by-step examples.Master the future value of investments through detailed calculations.Dive into annuity payment calculations and their practical applications.Develop loan amortization schedules using Python algorithms.Use Net Present Value (NPV) for evaluating investment profitability.Find Internal Rate of Return (IRR) through Python-based solutions.Implement the Capital Asset Pricing Model (CAPM) for asset valuation.Enhance understanding of the time value of money in financial analysis.Calculate exchange rates and currency conversions using Python.Explore the monetary multiplier effect in fractional reserve banking.Apply the Fisher Equation to link inflation and interest rates dynamically.Analyze money supply aggregates and central bank policy impacts.Apply the Quantity Theory of Money to economic output and price levels.Account for balance of payments using detailed Python code.Explore Interest Rate Parity and its international applications.Implement Purchasing Power Parity for currency valuation.Calculate Loan-to-Value ratio for mortgage assessment.Delve into credit scoring models, including FICO algorithms.Assess Value at Risk (VaR) in a variety of investment contexts.Utilize the Black-Scholes Model for option pricing precision.Measure bond price sensitivity with duration and convexity calculations.Understand the Modigliani-Miller Theorem in capital structure.Analyze capital adequacy ratios with Basel Accord implications.Compute leverage ratios to gauge company risk profiles.Evaluate liquidity ratios for assessing immediate financial health.Examine money demand through Python model applications.Navigate the IS-LM Model for comprehensive economic insight.Derive the LM Curve with Python to understand market equilibrium.
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U$S 74,98
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