Dynamic Models and Structural Estimation in Corporate Finance

Dynamic Models and Structural Estimation in Corporate Finance
Author: Ilya A. Strebulaev
Publisher: Now Pub
Total Pages: 174
Release: 2012-10-02
Genre: Business & Economics
ISBN: 9781601985804

The goals of this monograph are to explain the models and techniques and make it more accessible, introduce the main strands of this literature, and explain how dynamic models can be taken to the data and estimated, providing a guide to 3 methodologies: generalized method of moments, simulated method of moments, and maximum simulated likelihood.

Continuous-Time Models in Corporate Finance, Banking, and Insurance

Continuous-Time Models in Corporate Finance, Banking, and Insurance
Author: Santiago Moreno-Bromberg
Publisher: Princeton University Press
Total Pages: 223
Release: 2018-01-08
Genre: Business & Economics
ISBN: 0691176523

Continuous-Time Models in Corporate Finance synthesizes four decades of research to show how stochastic calculus can be used in corporate finance. Combining mathematical rigor with economic intuition, Santiago Moreno-Bromberg and Jean-Charles Rochet analyze corporate decisions such as dividend distribution, the issuance of securities, and capital structure and default. They pay particular attention to financial intermediaries, including banks and insurance companies. The authors begin by recalling the ways that option-pricing techniques can be employed for the pricing of corporate debt and equity. They then present the dynamic model of the trade-off between taxes and bankruptcy costs and derive implications for optimal capital structure. The core chapter introduces the workhorse liquidity-management model—where liquidity and risk management decisions are made in order to minimize the costs of external finance. This model is used to study corporate finance decisions and specific features of banks and insurance companies. The book concludes by presenting the dynamic agency model, where financial frictions stem from the lack of interest alignment between a firm's manager and its financiers. The appendix contains an overview of the main mathematical tools used throughout the book. Requiring some familiarity with stochastic calculus methods, Continuous-Time Models in Corporate Finance will be useful for students, researchers, and professionals who want to develop dynamic models of firms' financial decisions.

Structural Models and Endogeneity in Corporate Finance

Structural Models and Endogeneity in Corporate Finance
Author: Jeffrey L. Coles
Publisher:
Total Pages: 60
Release: 2015
Genre:
ISBN:

This paper presents a parsimonious, structural model that isolates primary economic determinants of the level and dispersion of managerial ownership, firm scale, and performance and the empirical associations among them. In particular, variation across firms and through time of estimated productivity parameters for physical assets and managerial input and corresponding variation in optimal compensation contract and firm size combine to deliver the well-known hump-shaped relation between Tobin's Q and managerial ownership. To assess the effectiveness of standard econometric approaches to the endogeneity problem, we apply those remedies to panel data generated from the model. The unfortunate conclusion is that, at least in the ownership-performance context, proxy variables, fixed effects, and instrumental variables do not generally provide reliable solutions to simultaneity bias.

Partial Least Squares Structural Equation Modeling

Partial Least Squares Structural Equation Modeling
Author: Necmi K. Avkiran
Publisher: Springer
Total Pages: 243
Release: 2018-02-16
Genre: Business & Economics
ISBN: 3319716913

This book pulls together robust practices in Partial Least Squares Structural Equation Modeling (PLS-SEM) from other disciplines and shows how they can be used in the area of Banking and Finance. In terms of empirical analysis techniques, Banking and Finance is a conservative discipline. As such, this book will raise awareness of the potential of PLS-SEM for application in various contexts. PLS-SEM is a non-parametric approach designed to maximize explained variance in latent constructs. Latent constructs are directly unobservable phenomena such as customer service quality and managerial competence. Explained variance refers to the extent we can predict, say, customer service quality, by examining other theoretically related latent constructs such as conduct of staff and communication skills. Examples of latent constructs at the microeconomic level include customer service quality, managerial effectiveness, perception of market leadership, etc.; macroeconomic-level latent constructs would be found in contagion of systemic risk from one financial sector to another, herd behavior among fund managers, risk tolerance in financial markets, etc. Behavioral Finance is bound to provide a wealth of opportunities for applying PLS-SEM. The book is designed to expose robust processes in application of PLS-SEM, including use of various software packages and codes, including R. PLS-SEM is already a popular tool in marketing and management information systems used to explain latent constructs. Until now, PLS-SEM has not enjoyed a wide acceptance in Banking and Finance. Based on recent research developments, this book represents the first collection of PLS-SEM applications in Banking and Finance. This book will serve as a reference book for those researchers keen on adopting PLS-SEM to explain latent constructs in Banking and Finance.

Contingency Approaches to Corporate Finance

Contingency Approaches to Corporate Finance
Author: Dan Galai
Publisher: World Scientific Publishing Company
Total Pages: 2036
Release: 2019-01-30
Genre: Corporations
ISBN: 9789814730723

Black and Scholes (1973) and Merton (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 approach 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.In the structural approach the arrival of the default event relies on economic arguments for why firms default as it is explicitly related to the dynamics of the economic value of the firm. A standard structural model of default timing assumes that a corporation defaults when its assets drop to a sufficiently low level relative to its liabilities.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 market 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. Option pricing models are used to value stocks, bonds, and many other types of corporate claims.Different versions of the model correspond to different assumptions about the conditions when a firm defaults. Merton (1974) assumes that the firm only defaults at the maturity date of the firm's outstanding debt when the net asset value of the firm, in market value terms, is negative. Others introduce other conditions for default. Also, different authors introduce more complicated capital structure with different kinds of bonds (e.g. senior and junior), warrants, corporate taxes, ESOP, and more. 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: CCA Approach to Corporate Debt ValuationVolume 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: Issues in Corporate Finance with CCA ApproachVolume 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: CCA Approach to Banking and Financial IntermediationVolume 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).

Corporate and Project Finance Modeling

Corporate and Project Finance Modeling
Author: Edward Bodmer
Publisher: John Wiley & Sons
Total Pages: 624
Release: 2014-10-10
Genre: Business & Economics
ISBN: 1118854454

A clear and comprehensive guide to financial modeling and valuation with extensive case studies and practice exercises Corporate and Project Finance Modeling takes a clear, coherent approach to a complex and technical topic. Written by a globally-recognized financial and economic consultant, this book provides a thorough explanation of financial modeling and analysis while describing the practical application of newly-developed techniques. Theoretical discussion, case studies and step-by-step guides allow readers to master many difficult modeling problems and also explain how to build highly structured models from the ground up. The companion website includes downloadable examples, templates, and hundreds of exercises that allow readers to immediately apply the complex ideas discussed. Financial valuation is an in-depth process, involving both objective and subjective parameters. Precise modeling is critical, and thorough, accurate analysis is what bridges the gap from model to value. This book allows readers to gain a true mastery of the principles underlying financial modeling and valuation by helping them to: Develop flexible and accurate valuation analysis incorporating cash flow waterfalls, depreciation and retirements, updates for new historic periods, and dynamic presentation of scenario and sensitivity analysis; Build customized spreadsheet functions that solve circular logic arising in project and corporate valuation without cumbersome copy and paste macros; Derive accurate measures of normalized cash flow and implied valuation multiples that account for asset life, changing growth, taxes, varying returns and cost of capital; Incorporate stochastic analysis with alternative time series equations and Monte Carlo simulation without add-ins; Understand valuation effects of debt sizing, sculpting, project funding, re-financing, holding periods and credit enhancements. Corporate and Project Finance Modeling provides comprehensive guidance and extensive explanation, making it essential reading for anyone in the field.

Simulation-based Econometric Methods

Simulation-based Econometric Methods
Author: Christian Gouriéroux
Publisher: OUP Oxford
Total Pages: 190
Release: 1997-01-09
Genre: Business & Economics
ISBN: 019152509X

This book introduces a new generation of statistical econometrics. After linear models leading to analytical expressions for estimators, and non-linear models using numerical optimization algorithms, the availability of high- speed computing has enabled econometricians to consider econometric models without simple analytical expressions. The previous difficulties presented by the presence of integrals of large dimensions in the probability density functions or in the moments can be circumvented by a simulation-based approach. After a brief survey of classical parametric and semi-parametric non-linear estimation methods and a description of problems in which criterion functions contain integrals, the authors present a general form of the model where it is possible to simulate the observations. They then move to calibration problems and the simulated analogue of the method of moments, before considering simulated versions of maximum likelihood, pseudo-maximum likelihood, or non-linear least squares. The general principle of indirect inference is presented and is then applied to limited dependent variable models and to financial series.

Evaluation of claims on distressed firms. A conceptual framework based on structural models

Evaluation of claims on distressed firms. A conceptual framework based on structural models
Author: Elias Fiebig
Publisher: GRIN Verlag
Total Pages: 252
Release: 2018-09-05
Genre: Business & Economics
ISBN: 3668790779

Master's Thesis from the year 2017 in the subject Business economics - Investment and Finance, grade: 12/12, Copenhagen Business School (Department of Finance), language: English, abstract: Within this thesis, we develop and apply a comprehensive, yet tractable framework comprising 10 sequential steps for the evaluation of claims on corporations suffering from distress. While traditional industry approaches yield consistent and unbiased valuations for claims on a healthy firm’s assets, we find encumbering evidence that results may be distorted if the valuation object experiences severe financial or economic difficulties. Standard present value, multiple, or accrual based equity valuation methods are deterministic in nature and hence, fail to properly account for the elevated idiosyncratic uncertainties surrounding distress. Initiated by Merton (1974), on the other hand, asset pricing research has suggested structural models as a theoretically superior alternative explicitly incorporating the optionality features and asymmetric payoff-profiles of limited liability claims. However, these models have been rarely adopted by industry professionals for their proclaimed complexity, lack of transparency and stylized assumptions on the valuation object’s capital structure. Accordingly, the proposed framework aims to overcome the above shortcomings of the original Merton (1974) model and eventually allows for an intuitive, seamless pricing of multiple claims with diverse maturity and coupon profiles based on their absolute priority ranking in bankruptcy. First, we provide a thorough characterization of both economic and financial distress and accompanying (firm) characteristics based on which a framework applicability assessment can be performed. Besides, we stress a comprehensive discussion how model input parameters can be estimated reliably. Subsequently, we perform a holistic application of the framework to the distressed German air carrier Air Berlin. Model outputs imply a current market undervaluation of common equity by 52%. While our analysis demonstrates remarkable upsides of the framework compared to traditional valuation procedures, we conclude that a separate estimation of a going concern- and a liquidation value only partially circumvents frictions associated with the computation of a distressed firm’s overall asset value. Moreover, we find that model results are highly sensitive to changes in input factors in general and the expected asset drift rate in particular, implying a considerably low robustness to estimation errors.

The Oxford Guide to Financial Modeling

The Oxford Guide to Financial Modeling
Author: Thomas S. Y. Ho
Publisher: Oxford University Press
Total Pages: 762
Release: 2004-01-15
Genre: Business & Economics
ISBN: 0199923981

The essential premise of this book is that theory and practice are equally important in describing financial modeling. In it the authors try to strike a balance in their discussions between theories that provide foundations for financial models and the institutional details that provide the context for applications of the models. The book presents the financial models of stock and bond options, exotic options, investment grade and high-yield bonds, convertible bonds, mortgage-backed securities, liabilities of financial institutions--the business model and the corporate model. It also describes the applications of the models to corporate finance. Furthermore, it relates the models to financial statements, risk management for an enterprise, and asset/liability management with illiquid instruments. The financial models are progressively presented from option pricing in the securities markets to firm valuation in corporate finance, following a format to emphasize the three aspects of a model: the set of assumptions, the model specification, and the model applications. Generally, financial modeling books segment the world of finance as "investments," "financial institutions," "corporate finance," and "securities analysis," and in so doing they rarely emphasize the relationships between the subjects. This unique book successfully ties the thought processes and applications of the financial models together and describes them as one process that provides business solutions. Created as a companion website to the book readers can visit www.thomasho.com to gain deeper understanding of the book's financial models. Interested readers can build and test the models described in the book using Excel, and they can submit their models to the site. Readers can also use the site's forum to discuss the models and can browse server based models to gain insights into the applications of the models. For those using the book in meetings or class settings the site provides Power Point descriptions of the chapters. Students can use available question banks on the chapters for studying.