World Scientific Reference On Contingent Claims Analysis In Corporate Finance In 4 Volumes PDF Download

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World Scientific Reference On Contingent Claims Analysis In Corporate Finance (In 4 Volumes)

World Scientific Reference On Contingent Claims Analysis In Corporate Finance (In 4 Volumes)
Author: Michel Crouhy
Publisher: World Scientific
Total Pages: 2039
Release: 2019-01-21
Genre: Business & Economics
ISBN: 9814759341

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Black and Scholes (1973) and Merton (1973, 1974) (hereafter referred to as BSM) introduced the contingent claim approach (CCA) to the valuation of corporate debt and equity. The BSM modeling framework is also named the 'structural' approach to risky debt valuation. The CCA considers all stakeholders of the corporation as holding contingent claims on the assets of the corporation. Each claim holder has different priorities, maturities and conditions for payouts. It is based on the principle that all the assets belong to all the liability holders.The BSM modeling framework gives the basic fundamental version of the structural model where default is assumed to occur when the net asset value of the firm at the maturity of the pure-discount debt becomes negative, i.e., market value of the assets of the firm falls below the face value of the firm's liabilities. In a regime of limited liability, the shareholders of the firm have the option to default on the firm's debt. Equity can be viewed as a European call option on the firm's assets with a strike price equal to the face value of the firm's debt. Actually, CCA can be used to value all the components of the firm's liabilities, equity, warrants, debt, contingent convertible debt, guarantees, etc.In the four volumes we present the major academic research on CCA in corporate finance starting from 1973, with seminal papers of Black and Scholes (1973) and Merton (1973, 1974). Volume I covers the foundation of CCA and contributions on equity valuation. Volume II focuses on corporate debt valuation and the capital structure of the firm. Volume III presents empirical evidence on the valuation of debt instruments as well as applications of the CCA to various financial arrangements. The papers in Volume IV show how to apply the CCA to analyze sovereign credit risk, contingent convertible bonds (CoCos), deposit insurance and loan guarantees. Volume 1: Foundations of CCA and Equity ValuationVolume 1 presents the seminal papers of Black and Scholes (1973) and Merton (1973, 1974). This volume also includes papers that specifically price equity as a call option on the corporation. It introduces warrants, convertible bonds and taxation as contingent claims on the corporation. It highlights the strong relationship between the CCA and the Modigliani-Miller (M&M) Theorems, and the relation to the Capital Assets Pricing Model (CAPM). Volume 2: Corporate Debt Valuation with CCAVolume 2 concentrates on corporate bond valuation by introducing various types of bonds with different covenants as well as introducing various conditions that trigger default. While empirical evidence indicates that the simple Merton's model underestimates the credit spreads, additional risk factors like jumps can be used to resolve it. Volume 3: Empirical Testing and Applications of CCAVolume 3 includes papers that look at issues in corporate finance that can be explained with the CCA approach. These issues include the effect of dividend policy on the valuation of debt and equity, the pricing of employee stock options and many other issues of corporate governance. Volume 4: Contingent Claims Approach for Banks and Sovereign DebtVolume 4 focuses on the application of the contingent claim approach to banks and other financial intermediaries. Regulation of the banking industry led to the creation of new financial securities (e.g., CoCos) and new types of stakeholders (e.g., deposit insurers).


World Scientific Reference on Contingent Claims Analysis in Corporate Finance

World Scientific Reference on Contingent Claims Analysis in Corporate Finance
Author: Dan Galai
Publisher:
Total Pages: 2036
Release: 2019
Genre: Corporations
ISBN: 9789814759588

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V.1. Foundations of CCA and equity valuation -- v. 2. Corporate debt valuation with CCA -- v. 3. Empirical testing and applications of CCA -- v. 4. Contingent claims approach for banks and sovereign debt.


Handbook of Alternative Data in Finance, Volume I

Handbook of Alternative Data in Finance, Volume I
Author: Gautam Mitra
Publisher: CRC Press
Total Pages: 478
Release: 2023-07-12
Genre: Business & Economics
ISBN: 1000897915

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Handbook of Alternative Data in Finance, Volume I motivates and challenges the reader to explore and apply Alternative Data in finance. The book provides a robust and in-depth overview of Alternative Data, including its definition, characteristics, difference from conventional data, categories of Alternative Data, Alternative Data providers, and more. The book also offers a rigorous and detailed exploration of process, application and delivery that should be practically useful to researchers and practitioners alike. Features Includes cutting edge applications in machine learning, fintech, and more Suitable for professional quantitative analysts, and as a resource for postgraduates and researchers in financial mathematics Features chapters from many leading researchers and practitioners


Artificial Neural Networks and Machine Learning – ICANN 2022

Artificial Neural Networks and Machine Learning – ICANN 2022
Author: Elias Pimenidis
Publisher: Springer Nature
Total Pages: 817
Release: 2022-09-06
Genre: Computers
ISBN: 3031159373

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The 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks, ICANN 2022, held in Bristol, UK, in September 2022. The total of 255 full papers presented in these proceedings was carefully reviewed and selected from 561 submissions. ICANN 2022 is a dual-track conference featuring tracks in brain inspired computing and machine learning and artificial neural networks, with strong cross-disciplinary interactions and applications.


Quantitative Risk and Portfolio Management

Quantitative Risk and Portfolio Management
Author: Kenneth Winston
Publisher: Cambridge University Press
Total Pages: 647
Release: 2023-09-30
Genre: Business & Economics
ISBN: 1009209043

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A book combining the rigour of academic finance with the pragmatism of hands-on finance.


Data-Driven Approaches for Effective Managerial Decision Making

Data-Driven Approaches for Effective Managerial Decision Making
Author: Anubha
Publisher: IGI Global
Total Pages: 354
Release: 2023-05-08
Genre: Business & Economics
ISBN: 1668475707

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In today’s competitive market, a manager must be able to look at data, understand it, analyze it, and then interpret it to design a smart business strategy. Big data is also a valuable source of information on how customers interact with firms through various mediums such as social media platforms, online reviews, and many more. The applications and uses of business analytics are numerous and must be further studied to ensure they are utilized appropriately. Data-Driven Approaches for Effective Managerial Decision Making investigates management concepts and applications using data analytics and outlines future research directions. The book also addresses contemporary advancements and innovations in the field of management. Covering key topics such as big data, business intelligence, and artificial intelligence, this reference work is ideal for managers, business owners, industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.


Systemic Contingent Claims Analysis

Systemic Contingent Claims Analysis
Author: Mr.Andreas A. Jobst
Publisher: International Monetary Fund
Total Pages: 93
Release: 2013-02-27
Genre: Business & Economics
ISBN: 1475557531

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The recent global financial crisis has forced a re-examination of risk transmission in the financial sector and how it affects financial stability. Current macroprudential policy and surveillance (MPS) efforts are aimed establishing a regulatory framework that helps mitigate the risk from systemic linkages with a view towards enhancing the resilience of the financial sector. This paper presents a forward-looking framework ("Systemic CCA") to measure systemic solvency risk based on market-implied expected losses of financial institutions with practical applications for the financial sector risk management and the system-wide capital assessment in top-down stress testing. The suggested approach uses advanced contingent claims analysis (CCA) to generate aggregate estimates of the joint default risk of multiple institutions as a conditional tail expectation using multivariate extreme value theory (EVT). In addition, the framework also helps quantify the individual contributions to systemic risk and contingent liabilities of the financial sector during times of stress.


Quantitative Analysis in Financial Markets

Quantitative Analysis in Financial Markets
Author: Marco Avellaneda
Publisher: World Scientific
Total Pages: 372
Release: 1999
Genre: Mathematics
ISBN: 9789810246938

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Contains lectures presented at the Courant Institute's Mathematical Finance Seminar.