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Introduction To Financial Models For Management And Planning

Author: James R. Morris
Publisher: CRC Press
ISBN: 1420090550
Size: 41.23 MB
Format: PDF, Kindle
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A properly structured financial model can provide decision makers with a powerful planning tool that helps them identify the consequences of their decisions before they are put into practice. Introduction to Financial Models for Management and Planning enables professionals and students to learn how to develop and use computer-based models for financial planning. Providing critical tools for the financial toolbox, this volume shows how to use these tools to build successful models. Placing a strong emphasis on the structure of models, the book focuses on developing models that are consistent with the theory of finance and, at the same time, are practical and usable. The authors introduce powerful tools that are imperative to the financial management of the operating business. These include interactive cash budgets and pro forma financial statements that balance even under the most extreme assumptions, valuation techniques, forecasting techniques that range from simple averages to time series methods, Monte Carlo simulation, linear programming, and optimization. The tools of financial modeling can be used to solve the problems of planning the firm’s investment and financing decisions. These include evaluating capital projects, planning the financing mix for new investments, capital budgeting under capital constraints, optimal capital structure, cash budgeting, working capital management, mergers and acquisitions, and constructing efficient security portfolios. While the primary emphasis is on models related to corporate financial management, the book also introduces readers to a variety of models related to security markets, stock and bond investments, portfolio management, and options. This authoritative book supplies broad-based coverage and free access to @Risk software for Monte Carlo simulation, making it an indispensible text for professionals and students in financial management. Please contact customer service for access to the software if your copy of the book does not contain this information.

Principles Of Corporate Finance 12 E

Author: Richard A. Brealey
Publisher: McGraw-Hill Education
ISBN: 9353163641
Size: 79.65 MB
Format: PDF
View: 4069
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Now in its Twelfth Edition, Principle of Corporate Finance continues to be one of the most comprehensive and authoritative presentations of financial theory and practice available. The book has been substantially revised and now reflect some recent developments in the financial markets or company practice. It also aims to explain aspects of theory and concepts from an Indian perspective. This is a leading text worldwide and has proven to be useful to students and financial managers alike. Salient Features: - Real-life examples and citations - Detailed coverage of contemporary topics such as Efficient Markets, Peer-to-Peer Lending, Crowdfunding, Behavioural Finance, Ethical Behaviour, Hidden Leverage and Managing International Risks - Dedicated Chapter on What We Do Know and What We Do Not Know about Finance: Discussion on seven major ideas and the ten unsolved problems of finance - Finance on the Web and Beyond the Page sections give students the opportunity to explore financial websites, learn more about key concepts, try out calculations and understand tables and figures

Principles Of Corporate Finance 11e

Author: Richard Brealey
Publisher: McGraw-Hill Education
ISBN: 9339205022
Size: 53.40 MB
Format: PDF, Docs
View: 7110
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Distinctive Features: • Detailed coverage of ever-evolving topics such as Efficient Markets, Behavioral Finance, and Managing International Risks • Ready Reckoner for the fundamentals of Corporate Finance – Dedicated Chapter on What We Do Know and What We Do Not Know about Finance • Strong Pedagogy: which includes but not limited to close to 850 Questions and exercises, 350 plus Illustrations/Boxed-items/Figures/Tables, 32 chapter-opening vignettes, and 5 Appendixes along with a strong Excel treatment

Operational Risk Modelling And Management

Author: Claudio Franzetti
Publisher: CRC Press
ISBN: 9781439844779
Size: 66.73 MB
Format: PDF, ePub
View: 564
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Taking into account the standards of the Basel Accord, Operational Risk Modelling and Management presents a simulation model for generating the loss distribution of operational risk. It also examines a multitude of management issues that must be considered when adjusting the quantitative results of a comprehensive model. The book emphasizes techniques that can be understood and applied by practitioners. In the quantitative portions of the text, the author supplies key concepts and definitions without stating theorems or delving into mathematical proofs. He also offers references for readers looking for further background information. In addition, the book includes a Monte Carlo simulation of risk capital in the form of a run-through example of risk calculations based on data from a quantitative impact study. Since the computations are too complicated for a scripting language, a prototypical software program can be downloaded from www.garrulus.com Helping you navigate the tricky world of risk calculation and management, this book presents two main building blocks for determining how much capital needs to be reserved for operational risk. It employs the loss distribution approach as a model for calculating the risk capital figure and explains risk mitigation through management and management’s actuations.

Pension Fund Risk Management

Author: Marco Micocci
Publisher: CRC Press
ISBN: 1439817545
Size: 45.25 MB
Format: PDF, ePub, Mobi
View: 719
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As pension fund systems decrease and dependency ratios increase, risk management is becoming more complex in public and private pension plans. Pension Fund Risk Management: Financial and Actuarial Modeling sheds new light on the current state of pension fund risk management and provides new technical tools for addressing pension risk from an integrated point of view. Divided into four parts, the book first presents the correct measurement of risk in pension funds, fund dynamics under a performance-oriented arrangement, an attribution model for monitoring the performance and risk of a defined benefit (DB) pension fund, and an optimal investment problem of a defined contribution (DC) pension fund under inflationary risk. It also describes a pension plan from a dynamic optimization viewpoint, the optimal asset allocation of U.S. pension funds, the identification of stakeholders’ risks, value-at-risk (VaR) methodology, and various effects on the asset allocation of DB pension schemes. The second section focuses on the effects of uncertainty on employer-provided DB private pension plan liabilities; wage-based lump sum payments by death, retirement, or dismissal by the employer; fundamental retirement changes; occupational pension insurance in Germany; and longevity risk securitization in pension schemes. In the third part, the book examines employers’ risks, accountability rules and regulations, useful actuarial analysis instruments, risk-based solvency regime in the Netherlands, and the impact of the 2008 global financial crisis on pension participants. The final part covers DB pension freezes and terminations of plans, the two-pillar social security system of Italy, the Greek social security system, the effect of a company’s unfunded pension liabilities on its stock market valuation, and the returns of Spanish balanced pension plans and portfolio performance. With contributions from well-known, international academics and professionals, this book will assist pension fund executives, risk managers, consultants, and academic researchers in attaining a clear picture of the integration of risks in the pension world. It offers a comprehensive, contemporary account of how to handle the risks involved with pension funds.

An Introduction To Credit Risk Modeling

Author: Christian Bluhm
Publisher: CRC Press
ISBN: 9781420057362
Size: 27.96 MB
Format: PDF, ePub, Mobi
View: 3332
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In today's increasingly competitive financial world, successful risk management, portfolio management, and financial structuring demand more than up-to-date financial know-how. They also call for quantitative expertise, including the ability to effectively apply mathematical modeling tools and techniques. An Introduction to Credit Risk Modeling supplies both the bricks and the mortar of risk management. In a gentle and concise lecture-note style, it introduces the fundamentals of credit risk management, provides a broad treatment of the related modeling theory and methods, and explores their application to credit portfolio securitization, credit risk in a trading portfolio, and credit derivatives risk. The presentation is thorough but refreshingly accessible, foregoing unnecessary technical details yet remaining mathematically precise. Whether you are a risk manager looking for a more quantitative approach to credit risk or you are planning a move from the academic arena to a career in professional credit risk management, An Introduction to Credit Risk Modeling is the book you've been looking for. It will bring you quickly up to speed with information needed to resolve the questions and quandaries encountered in practice.

An Introduction To Computational Risk Management Of Equity Linked Insurance

Author: Runhuan Feng
Publisher: CRC Press
ISBN: 1351647725
Size: 19.38 MB
Format: PDF, ePub, Mobi
View: 7407
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The quantitative modeling of complex systems of interacting risks is a fairly recent development in the financial and insurance industries. Over the past decades, there has been tremendous innovation and development in the actuarial field. In addition to undertaking mortality and longevity risks in traditional life and annuity products, insurers face unprecedented financial risks since the introduction of equity-linking insurance in 1960s. As the industry moves into the new territory of managing many intertwined financial and insurance risks, non-traditional problems and challenges arise, presenting great opportunities for technology development. Today's computational power and technology make it possible for the life insurance industry to develop highly sophisticated models, which were impossible just a decade ago. Nonetheless, as more industrial practices and regulations move towards dependence on stochastic models, the demand for computational power continues to grow. While the industry continues to rely heavily on hardware innovations, trying to make brute force methods faster and more palatable, we are approaching a crossroads about how to proceed. An Introduction to Computational Risk Management of Equity-Linked Insurance provides a resource for students and entry-level professionals to understand the fundamentals of industrial modeling practice, but also to give a glimpse of software methodologies for modeling and computational efficiency. Features Provides a comprehensive and self-contained introduction to quantitative risk management of equity-linked insurance with exercises and programming samples Includes a collection of mathematical formulations of risk management problems presenting opportunities and challenges to applied mathematicians Summarizes state-of-arts computational techniques for risk management professionals Bridges the gap between the latest developments in finance and actuarial literature and the practice of risk management for investment-combined life insurance Gives a comprehensive review of both Monte Carlo simulation methods and non-simulation numerical methods Runhuan Feng is an Associate Professor of Mathematics and the Director of Actuarial Science at the University of Illinois at Urbana-Champaign. He is a Fellow of the Society of Actuaries and a Chartered Enterprise Risk Analyst. He is a Helen Corley Petit Professorial Scholar and the State Farm Companies Foundation Scholar in Actuarial Science. Runhuan received a Ph.D. degree in Actuarial Science from the University of Waterloo, Canada. Prior to joining Illinois, he held a tenure-track position at the University of Wisconsin-Milwaukee, where he was named a Research Fellow. Runhuan received numerous grants and research contracts from the Actuarial Foundation and the Society of Actuaries in the past. He has published a series of papers on top-tier actuarial and applied probability journals on stochastic analytic approaches in risk theory and quantitative risk management of equity-linked insurance. Over the recent years, he has dedicated his efforts to developing computational methods for managing market innovations in areas of investment combined insurance and retirement planning.