Author: Giuseppe PalombaPublisher: Librairie Droz
ISBN: 9782600040471
Category : Economics, Mathematical
Languages : en
Pages : 146
Book Description
A Mathematical Interpretation of the Balance Sheet
Author: Giuseppe PalombaPublisher: Librairie Droz
ISBN: 9782600040471
Category : Economics, Mathematical
Languages : en
Pages : 146
Book Description
A mathematical interpretation of the balance sheet
Author: Mathematical Interpretation of the Balance Sheet
Author: Giuseppe PalombaA Mathematical Interpretation of the Balance Sheet
Author: Giuseppe PALOMBA (Ordinario di Economia Politica nell'Università di Napoli.)Publisher:
ISBN:
Category :
Languages : en
Pages : 130
Book Description
ALM Modeling and Balance Sheet Optimization
Author: Diogo GobiraPublisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110664666
Category : Business & Economics
Languages : en
Pages : 216
Book Description
ALM Modeling and Balance Sheet Optimization is a comprehensive book that combines theoretical exploration with practical guidance and code examples on implementing a balance sheet optimization model. The book emphasizes the use of stochastic dynamic programming to develop a deep and holistic understanding of the banking problem. Encompassing the entire implementation stack – spanning from data layers to the specification of decision variables, business and regulatory constraints, objective functions, modeling strategies, solving techniques, debugging, and reporting – this book serves as a comprehensive guide for constructing highly effective balance optimization models from scratch, enabling the maximization of banking outcomes. Readers will learn how to build a mathematical model capable of generating projections for portfolios; balance sheet, income and cash flow statements; capital, and risk measures in real-world scenarios. This practical approach is particularly valuable for professionals involved in integrated stress testing, capital adequacy assessment, financial planning, and optimization tasks. In essence, the book offers valuable insights into the challenges of balance sheet optimization, providing readers with the necessary tools to build their own dynamic and comprehensive ALM models.
Math for the Non-Math Lovers (Collection)
Author: David M. LevinePublisher: FT Press
ISBN: 0133597601
Category : Business & Economics
Languages : en
Pages : 563
Book Description
Even You Can Learn Statistics, 2nd Ed. is the easiest guide to using statistics in your everyday work or study. Experienced educators David Levine and David Stephan teach statistics hands-on, in plain English, with as little math and as many revealing examples as possible. Levine and Stephan define each concept and technique in plain English, and then explain why it's important, when it's used, and how you can apply it yourself. This Second Edition is fully-updated. Along the way, Levine and Stephan also help you overcome common misconceptions about statistics, so you can use any statistical method more confidently and successfully. In this classic book, long-time CEO Robert Follett shows you exactly how to "keep score" in business by reading and interpreting company financials. Step by step, Follett helps you capture crucial insights buried in balance sheets, income statements, and other key financial reports. Follett shows how to apply core tools for analyzing financial reports and investment opportunities, and demystifies key accounting terms every manager and investor needs to know. This book won't turn you into an accountant, but it will enable you to work confidently with accountants, auditors, financial analysts, budget directors, controllers, treasurers, bankers, and brokers—and make more informed business decisions every single day. Thoroughly updated for current financial practices, How to Keep Score in Business, Second Edition covers all this, and much more.
Giuseppe Palomba. A Mathematical Interpretation of the Balance Sheet
Author: Giuseppe PalombaA Guide to Business Mathematics
Author: Gerard O'ReganPublisher: CRC Press
ISBN: 1000634914
Category : Business & Economics
Languages : en
Pages : 412
Book Description
The success of business today is dependent on the knowledge and expertise of its employees. The need for mathematics arises naturally in business such as in the work of the actuary in an insurance company, the financial mathematics required in the day-to-day work of the banker and the need to analyse data to extract useful information to enable the business to make the right decisions to be successful. A Guide to Business Mathematics provides a valuable self-study guide to business practitioners, business students and the general reader to enable them to gain an appropriate insight into the mathematics used in business. This book offers an accessible introduction to essential mathematics for the business field. A wide selection of topics is discussed with the mathematical material presented in a reader-friendly way. The business context motivates the presentation. The author uses modelling and applications to motivate the material, demonstrating how mathematics is used in the financial sector. In addition to the role of the actuary and the banker, the book covers operations research including game theory, trade discounts and the fundamentals of statistics and probability. The book is also a guide to using metrics to manage and measure performance, and business economics. Foundations on algebra, number theory, sequences and series, matrix theory and calculus are included as is a complete chapter on using software. Features • Discusses simple interest and its application to promissory notes/treasury bills. • Discusses compound interest with applications to present and future values. • Introduces the banking field including loans, annuities and the spot/forward FX market. • Discusses trade discounts and markups/markdowns. • Introduces the insurance field and the role of the actuary. • Introduces the fields of data analytics and operations research. • Discusses business metrics and problem solving. • Introduces matrices and their applications. • Discusses calculus and its applications. • Discusses basic financial statements such as balance sheet, profit and loss and cash account. • Reviews a selection of software to support business mathematics. This broad-ranging text gives the reader a flavour of the applications of mathematics to the business field and stimulates further study in the subject. As such, it will be of great benefit to business students, while also capturing the interest of the more casual reader. About the Author Dr. Gerard O'Regan is an Assistant Professor in Mathematics at the University of Central Asia in Kyrgyzstan. His research interests include software quality and software process improvement, mathematical approaches to software quality, and the history of computing. He is the author of several books in the Mathematics and Computing fields.
Quantitative Corporate Finance
Author: John B. Guerard Jr.Publisher: Springer Nature
ISBN: 3030435474
Category : Business & Economics
Languages : en
Pages : 619
Book Description
This textbook presents a comprehensive treatment of the legal arrangement of the corporation, the instruments and institutions through which capital can be raised, the management of the flow of funds through the individual firm, and the methods of dividing the risks and returns among the various contributors of funds. Now in its second edition, the book covers a wide range of topics in corporate finance, from time series modeling and regression analysis to multi-factor risk models and the Capital Asset Pricing Model. Guerard, Gultekin and Saxena build significantly on the first edition of the text, but retain the core chapters on cornerstone topics such as mergers and acquisitions, regulatory environments, bankruptcy and various other foundational concepts of corporate finance. New to the second edition are examinations of APT portfolio selection and time series modeling and forecasting through SAS, SCA and OxMetrics programming, FactSet fundamental data templates. This is intended to be a graduate-level textbook, and could be used as a primary text in upper level MBA and Financial Engineering courses, as well as a supplementary text for graduate courses in financial data analysis and financial investments.
Author: