Extreme Events in Finance

The monograph covers the fundamentals and the consequences of extreme geophysical phenomena like asteroid impacts, climatic change, earthquakes, tsunamis, hurricanes, landslides, volcanic eruptions, flooding, and space weather. This monograph also addresses their associated, local and worldwide socio-economic impacts. The understanding and modeling of these phenomena is critical to the development of timely worldwide strategies for the prediction of natural and anthropogenic extreme events, in order to mitigate their adverse consequences. This monograph is unique in as much as it is dedicated to recent theoretical, numerical and empirical developments that aim to improve: (i) the understanding, modeling and prediction of extreme events in the geosciences, and, (ii) the quantitative evaluation of their economic consequences. The emphasis is on coupled, integrative assessment of the physical phenomena and their socio-economic impacts. With its overarching theme, Extreme Events: Observations, Modeling and Economics will be relevant to and become an important tool for researchers and practitioners in the fields of hazard and risk analysis in general, as well as to those with a special interest in climate change, atmospheric and oceanic sciences, seismo-tectonics, hydrology, and space weather.

Published by the American Geophysical Union as part of the Geophysical Monograph Series, Volume 196. Extreme Events and Natural Hazards: The Complexity Perspective examines recent developments in complexity science that provide a new approach to understanding extreme events. This understanding is critical to the development of strategies for the prediction of natural hazards and mitigation of their adverse consequences. The volume is a comprehensive collection of current developments in the understanding of extreme events. The following critical areas are highlighted: understanding extreme events, natural hazard prediction and development of mitigation strategies, recent developments in complexity science, global change and how it relates to extreme events, and policy sciences and perspective. With its overarching theme, Extreme Events and Natural Hazards will be of interest and relevance to scientists interested in nonlinear geophysics, natural hazards, atmospheric science, hydrology, oceanography, tectonics, and space weather.

An authoritative volume focusing on multidisciplinary methods to estimate the impacts of climate-related extreme events to society As the intensity and frequency of extreme events related to climate change continue to increase, there is an urgent need for clear and cohesive analysis that integrates both climatological and socioeconomic impacts. Extreme Events and Climate Change provides a timely, multidisciplinary examination of the impacts of extreme weather under a warming climate. Offering wide-ranging coverage of the methods and analysis that relate changes in extreme events to their societal impacts, this volume helps readers understand and overcome the methodological challenges associated with extreme event analysis. Contributions from leading experts from across disciplines describe the theoretical requirements for analyzing the complex interactions between meteorological phenomena and the resulting outcomes, discuss new approaches for analyzing the impacts of extreme events on society, and illustrate how empirical and theoretical concepts merge to form a unified plan that enables informed decision making. Throughout the text, innovative frameworks allow readers to find solutions to the modeling and statistical challenges encountered when analyzing extreme events. Designed for researchers and policy makers alike, this important resource : Discusses topics central to understanding how extreme weather changes as the climate warms Provides coverage of analysis methods that relate changes in extreme events to their societal impacts Reviews significant theoretical and modeling advances in the physical aspects of climate science Presents a comprehensive view of state of the science, including new ways of using data from different sources Extreme Events and Climate Change: A Multidisciplinary Approach is an indispensable volume for students, researchers, scientists, and practitioners in fields such as hazard and risk analysis, climate change, atmospheric and ocean sciences, hydrology, geography, agricultural science, and environmental and space science.

Taking due account of extreme events when constructing portfolios of assets or liabilities is a key discipline for market professionals. Extreme events are a fact of life in how markets operate. In Extreme Events: Robust Portfolio Construction in the Presence of Fat Tails, leading expert Malcolm Kemp shows readers how to analyse market data to uncover fat-tailed behaviour, how to incorporate expert judgement in the handling of such information, and how to refine portfolio construction methodologies to make portfolios less vulnerable to extreme events or to benefit more from them. This is the only text that combines a comprehensive treatment of modern risk budgeting and portfolio construction techniques with the specific refinements needed for them to handle extreme events. It explains in a logical sequence what constitutes fat-tailed behaviour and why it arises, how we can analyse such behaviour, at aggregate, sector or instrument level, and how we can then take advantage of this analysis. Along the way, it provides a rigorous, comprehensive and clear development of traditional portfolio construction methodologies applicable if fat-tails are absent. It then explains how to refine these methodologies to accommodate real world behaviour. Throughout, the book highlights the importance of expert opinion, showing that even the most data-centric portfolio construction approaches ultimately depend on practitioner assumptions about how the world might behave. The book includes: Key concepts and methods involved in analysing extreme events A comprehensive treatment of mean-variance investing, Bayesian methods, market consistent approaches, risk budgeting, and their application to manager and instrument selection A systematic development of the refinements needed to traditional portfolio construction methodologies to cater for fat-tailed behaviour Latest developments in stress testing and back testing methodologies A strong focus on the practical implementation challenges that can arise at each step in the process and on how to overcome these challenges “Understanding how to model and analyse the risk of extreme events is a crucial part of the risk management process. This book provides a set of techniques that allow practitioners to do this comprehensively.” Paul Sweeting, Professor of Actuarial Science, University of Kent “How can the likeliness of crises affect the construction of portfolios? This question is highly topical in times where we still have to digest the last financial collapse. Malcolm Kemp gives the answer. His book is highly recommended to experts as well as to students in the financial field.” Christoph Krischanitz, President Actuarial Association of Austria, Chairman WG “Market Consistency” of Groupe Consultatif

Balanced coverage of the methodology and theory of numerical methods in finance Numerical Methods in Finance bridges the gap between financial theory and computational practice while helping students and practitioners exploit MATLAB for financial applications. Paolo Brandimarte covers the basics of finance and numerical analysis and provides background material that suits the needs of students from both financial engineering and economics perspectives. Classical numerical analysis methods; optimization, including less familiar topics such as stochastic and integer programming; simulation, including low discrepancy sequences; and partial differential equations are covered in detail. Extensive illustrative examples of the application of all of these methodologies are also provided. The text is primarily focused on MATLAB-based application, but also includes descriptions of other readily available toolboxes that are relevant to finance. Helpful appendices on the basics of MATLAB and probability theory round out this balanced coverage. Accessible for students-yet still a useful reference for practitioners-Numerical Methods in Finance offers an expert introduction to powerful tools in finance.

Copula Methods in Finance is the first book to address the mathematics of copula functions illustrated with finance applications. It explains copulas by means of applications to major topics in derivative pricing and credit risk analysis. Examples include pricing of the main exotic derivatives (barrier, basket, rainbow options) as well as risk management issues. Particular focus is given to the pricing of asset-backed securities and basket credit derivative products and the evaluation of counterparty risk in derivative transactions.

Project finance has spread worldwide and includes numerous industrial projects from power stations and waste-disposal plants to telecommunication facilities, bridges, tunnels, railway networks, and now also the building of hospitals, education facilities, government accommodation and tourist facilities. Despite financial assessment of PF projects being fundamental to the lender’s decision, there is little understanding of how the use of finance is perceived by individual stakeholders; why and how a financial assessment is performed; who should be involved; where and when it should be performed; what data should be used; and how financial assessments should be presented. Current uncertainty in financial markets makes many sponsors of construction project financings carefully consider bank liquidity, the higher cost of finance, and general uncertainty for demand. This has resulted in the postponement of a number of projects in certain industry sectors. Governments have seen tax receipts drastically reduced which has affected their ability to finance infrastructure projects, often irrespective of the perceived demand. Equity providers still seek to invest, however there are less opportunities due to market dislocation. Due to the demand for global infrastructure it is believed that project financings will return to their pre-crunch levels, or more so, however lenders’ liquidity costs will be passed on to the borrowers. Lenders will also be under stricter regulation both internally and externally. The steps outlined in the guide are designed to provide a basic understanding for all those involved or interested in both structuring and assessing project financings. Secondary contracts involving constructors, operators, finance providers, suppliers and offtakers can be developed and assessed to determine their commercial viability over a projects life cycle. Special Features a structured guide to assessing the commercial viability of construction projects explains economic metrics to use in the decision making process detailed case study shows how stakeholders apply the concept of project finance

Avoid downturn vulnerability by managing correlation dependency Asymmetric Dependence in Finance examines the risks and benefits of asset correlation, and provides effective strategies for more profitable portfolio management. Beginning with a thorough explanation of the extent and nature of asymmetric dependence in the financial markets, this book delves into the practical measures fund managers and investors can implement to boost fund performance. From managing asymmetric dependence using Copulas, to mitigating asymmetric dependence risk in real estate, credit and CTA markets, the discussion presents a coherent survey of the state-of-the-art tools available for measuring and managing this difficult but critical issue. Many funds suffered significant losses during recent downturns, despite having a seemingly well-diversified portfolio. Empirical evidence shows that the relation between assets is much richer than previously thought, and correlation between returns is dependent on the state of the market; this book explains this asymmetric dependence and provides authoritative guidance on mitigating the risks. Examine an options-based approach to limiting your portfolio's downside risk Manage asymmetric dependence in larger portfolios and alternate asset classes Get up to speed on alternative portfolio performance management methods Improve fund performance by applying appropriate models and quantitative techniques Correlations between assets increase markedly during market downturns, leading to diversification failure at the very moment it is needed most. The 2008 Global Financial Crisis and the 2006 hedge-fund crisis provide vivid examples, and many investors still bear the scars of heavy losses from their well-managed, well-diversified portfolios. Asymmetric Dependence in Finance shows you what went wrong, and how it can be corrected and managed before the next big threat using the latest methods and models from leading research in quantitative finance.

This book provides evidence on how housing finance markets developed across Europe. The objective of the text is to bring together up to date material from across Europe which will help to clarify (i) how national housing finance markets have dealt with the challenges of deregulation and privatisation since the 1980s,(ii) how the financial crisis has impacted on the structure of the industry and the range of financial instruments available, (iii) how governments and the EU have responded to increasing risks and higher indebtedness in most West European countries and the need to grow new finance markets in Eastern Europe, and (iv) how changing housing finance markets impact on the capacity to provide adequate affordable housing into the future.