Books in the The Wiley Finance Series series

The business guide to Big Data in insurance, with practical application insight Big Data and Analytics for Insurers is the industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers.

A survival guide for the FinTech era of banking FinTech Innovation examines the rise of financial technology and its growing impact on the global banking industry. Wealth managers are standing at the epicenter of a tectonic shift, as the balance of power between offering and demand undergoes a dramatic upheaval.

The comprehensive, broadly-applicable, real-world guide to financial modelling Financial Modelling in Practice, Second Edition covers the full spectrum of financial modelling tools and techniques to provide practical skills grounded in real-world scenarios.

Cut risk and generate profit even after the market drops The Second Leg Down offers practical approaches to profiting after a market event. Written by a specialist in global macro, volatility and hedging overlay strategies, this book provides in-depth insight into surviving in a volatile environment.

Delve into ETFs for smarter investing and a weatherproof portfolio Beyond Smart Beta is the investor's complete guide to index investing, with deep analysis, expert clarification and smart strategies for active portfolio management.

State-of-the-art algorithmic deep learning and tensoring techniques for financial institutionsThe computational demand of risk calculations in financial institutions has ballooned and shows no sign of stopping. It is no longer viable to simply add more computing power to deal with this increased demand. The solution? Algorithmic solutions based on deep learning and Chebyshev tensors represent a practical way to reduce costs while simultaneously increasing risk calculation capabilities. Machine Learning for Risk Calculations: A Practitioner's View provides an in-depth review of a number of algorithmic solutions and demonstrates how they can be used to overcome the massive computational burden of risk calculations in financial institutions.This book will get you started by reviewing fundamental techniques, including deep learning and Chebyshev tensors. You'll then discover algorithmic tools that, in combination with the fundamentals, deliver actual solutions to the real problems financial institutions encounter on a regular basis. Numerical tests and examples demonstrate how these solutions can be applied to practical problems, including XVA and Counterparty Credit Risk, IMM capital, PFE, VaR, FRTB, Dynamic Initial Margin, pricing function calibration, volatility surface parametrisation, portfolio optimisation and others. Finally, you'll uncover the benefits these techniques provide, the practicalities of implementing them, and the software which can be used.* Review the fundamentals of deep learning and Chebyshev tensors* Discover pioneering algorithmic techniques that can create new opportunities in complex risk calculation* Learn how to apply the solutions to a wide range of real-life risk calculations.* Download sample code used in the book, so you can follow along and experiment with your own calculations* Realize improved risk management whilst overcoming the burden of limited computational powerQuants, IT professionals, and financial risk managers will benefit from this practitioner-oriented approach to state-of-the-art risk calculation.

Transform your financial organisation's formula for value creation with this insightful and strategic approachIn Transforming Financial Institutions through Technology Innovation and Operational Change, visionary turnaround leader Joerg Ruetschi delivers a practical and globally relevant methodology and framework for value creation at financial institutions. The author demonstrates how financial organisations can combine finance strategy with asset-liability and technology management to differentiate their services and gain competitive advantage in a ferocious industry.In addition to exploring the four critical areas of strategic and competitive transformation -- financial analysis, valuation, modeling, and stress -- the book includes:* Explanations of how to apply the managerial fundamentals discussed in the book in the real world, with descriptions of the principles for reorganization, wind-down and overall value creation* An analysis of the four key emerging technologies in the financial industry: AI, blockchain, software, and infrastructure solutions, and their transformational impact* Real-world case studies and examples on how financial institutions can be repositioned and rebuilt on a path of profitabilityPerfect for managers and decision makers in the financial services industry, Transforming Financial Institutions through Technology Innovation and Operational Change is also required reading for regulators, tech firms, and private equity and venture capital funds.

A practitioner's guide to ex-post performance measurement techniques Risk within asset management firms has an undeserved reputation for being an overly complex, mathematical subject. This book simplifies the subject and demonstrates with practical examples that risk is perfectly straightforward and not as complicated as it might seem.

Covers commodity option pricing for quantitative analysts, traders or structures in banks, hedge funds and commodity trading companies. Based on the author's industry experience with commodity derivatives, this book provides a thorough and mathematical introduction to the various market conventions and models used in commodity option pricing.

In the wake of the recent financial crisis, many will agree that it is time for a fresh approach to portfolio management. The Complete Guide to Portfolio Construction and Management provides practical investment advice for building a robust, diversified portfolio.