In times of globalization, competition and economic and technological progress, the permanent improvement of the planning, coordination and control system of companies is a major task of Controlling. This book presents a concise concept for the design of a ratio and management report system for each functional part of the company. It addresses as well practitioners who seek decision support in their day-to-day business, as scientists and students who want to obtain information about the state of the art of Management Control and Controllership.

In August, 1976 the research seminar 'Decision-making in business' was organized at Nijenrode, The Netherlands School of Business. More than fifty scientists and practitioners from nine countries presented research papers in one of the six discussion groups. Some of them also presented some of their ideas in front of a large mixed audience at a one-day symposium. Many of the papers presented at Nijenrode were of such a high quality that the decision to publish a selection of them was an easy one. At the same time the new series Nijenrode studies in business was initiated. All who were involved, the policy committee of the N ijenrode studies, the advisory and editorial board of the series, the publisher, and the organizing committee of the seminar and symposium, acclaimed the idea of publishing three volumes in the new series. A collection of eleven papers could be grouped under the title Trends in managerial andfinancial accounting. Another collection will be published as volume 2 of this series under the title TI'ends in financial decision-making, while volume 3 will consist of papers exploring the theme Trends in business ethics. The books are intended for those who are interested in new developments in the decision-making area. They are especially suitable for graduate or advanced undergraduate courses: volume 1 in managerial or financial accounting courses; volume 2 in courses on managerial finance, capital budgeting or decision making; and volume 3 in courses on business ethics or related fields."

This is a management oriented book about efficiency, quality and effectiveness designed for an audience of management practitioners, scholars, and students. The integrative approach developed in this book contains new ideas regarding quality and efficiency-based effective management. These ideas lend themselves to managerial applications. This work is not meant to provide an exhaustive account of the measurement, and applications of effectiveness, quality, and efficiency concepts. With the exception of the treatment of conventional productivity concepts and measurements in Chapter 2, and of production flexibility in Chapter 5, the discussion in this book is largely non-teclmical. Among management practitioners, the book may be of particular interest to managers with broad strategic orientations in the fields of production management, quality management, marketing, and management of human resources. The academic audience is likely to include scholars and students interested in strategic planning, applied productivity analysis, quality management, marketing management, and management of human resources. The book could also be used as a supplementary text to or part of the readings in basic and advanced courses in strategic management, production management, and quality management. Concepts and dimensions of efficiency, quality, and effectiveness, as used throughout this book, are introduced in Chapter 1. The intricate sets of relationships among effectiveness, quality, and efficiency are explored.

This book studies pricing financial derivatives with a partial differential equation approach. The treatment is mathematically rigorous and covers a variety of topics in finance including forward and futures contracts, the Black-Scholes model, European and American type options, free boundary problems, lookback options, interest rate models, interest rate derivatives, swaps, caps, floors, and collars. Each chapter concludes with exercises.

Michael C. Munnix analyses the statistical dependencies in financial markets and develops mathematical models using concepts and methods from physics. The author focuses on aspects that played a key role in the emergence of the recent financial crisis: estimation of credit risk, dynamics of statistical dependencies, and correlations on small time-scales. He visualizes the findings for various large-scale empirical studies of market data. The results give novel insights into the mechanisms of financial markets and allow conclusions on how to reduce financial risk significantly.

SOFR Futures and Options is the practical guide through the maze of the transition from LIBOR. In the first section, it provides an in-depth explanation of the concepts involved: The repo market and the construction of SOFR SOFR-based lending markets and the term rate The secured-unsecured basis SOFR futures and options and their spread contracts Margin and convexity Applying these insights, the second section offers detailed worked-through examples of hedging loans, swaps, bonds, and floors with SOFR futures and options, supported by interactive spreadsheets accessible on the web. The gold standard resource for professionals working at financial institutions, SOFR Futures and Options also belongs in the libraries of students of finance and business, as well as those preparing for the Chartered Financial Analyst exam.

The Bachelier Society for Mathematical Finance held its first World Congress in Paris last year, and coincided with the centenary of Louis Bacheliers thesis defence. In his thesis Bachelier introduces Brownian motion as a tool for the analysis of financial markets as well as the exact definition of options. The thesis is viewed by many the key event that marked the emergence of mathematical finance as a scientific discipline. The prestigious list of plenary speakers in Paris included two Nobel laureates, Paul Samuelson and Robert Merton, and the mathematicians Henry McKean and S.R.S. Varadhan. Over 130 further selected talks were given in three parallel sessions. .

Statistical Tools for Finance and Insurance" "presents ready-to-use solutions, theoretical developments and method construction for many practical problems in quantitative finance and insurance. Written by practitioners and leading academics in the field, this book offers a unique combination of topics from which every market analyst and risk manager will benefit.

Features of the significantly enlarged and revised second edition: Offers insight into new methods and the applicability of the stochastic technologyProvides the tools, instruments and (online) algorithms for recent techniques in quantitative finance and modern treatments in insurance calculationsCovers topics such as
- expected shortfall for heavy tailed and mixture distributions*
- pricing of variance swaps*
- volatility smile calibration in FX markets
- pricing of catastrophe bonds and temperature derivatives*
- building loss models and ruin probability approximation
- insurance pricing with GLM*
- equity linked retirement plans*(new topics in the second edition marked with*)Presents extensive examples

The integration of accounting and the economics of information developed by Joel S. Demski and those he inspired has revolutionized accounting thought. This volume collects papers on accounting theory in honor of Professor Demski. The book also contains an extensive review of Professor Demski 's own contributions to the theory of accounting over the past four decades.

A lot of economic problems can formulated as constrained optimizations and equilibration of their solutions. Various mathematical theories have been supplying economists with indispensable machineries for these problems arising in economic theory. Conversely, mathematicians have been stimulated by various mathematical difficulties raised by economic theories. The series is designed to bring together those mathematicians who were seriously interested in getting new challenging stimuli from economic theories with those economists who are seeking for effective mathematical tools for their researchers.

It is imperative to equip practitioners with a workable framework to manage component-based development in distributed environments, and to offer a theoretical construct to academics wishing to advance the study of global teams. This book outlines the key challenges faced by projects and offers tools to implement CBD in global teams.

This book presents the mathematics that underpins pricing models for derivative securities in modern financial markets, such as options, futures and swaps. This new edition adds substantial material from current areas of active research, such as coherent risk measures with applications to hedging, the arbitrage interval for incomplete discrete-time markets, and risk and return and sensitivity analysis for the Black-Scholes model.

The theory of Markov decision processes focuses on controlled Markov chains in discrete time. The authors establish the theory for general state and action spaces and at the same time show its application by means of numerous examples, mostly taken from the fields of finance and operations research. By using a structural approach many technicalities (concerning measure theory) are avoided. They cover problems with finite and infinite horizons, as well as partially observable Markov decision processes, piecewise deterministic Markov decision processes and stopping problems.

The book presents Markov decision processes in action and includes various state-of-the-art applications with a particular view towards finance. It is useful for upper-level undergraduates, Master's students and researchers in both applied probability and finance, and provides exercises (without solutions). "

This book proposes a uniform logic and probabilistic (LP) approach to risk estimation and analysis in engineering and economics. It covers the methodological and theoretical basis of risk management at the design, test, and operation stages of economic, banking, and engineering systems with groups of incompatible events (GIE). This edition includes new chapters providing a detailed treatment of scenario logic and probabilistic models for revealing bribes. It also contains clear definitions and notations, revised sections and chapters, an extended list of references, and a new subject index, as well as more than a hundred illustrations and tables which motivate the presentation.

This is an undergraduate textbook on the basic aspects of personal savings and investing with a balanced mix of mathematical rigor and economic intuition. It uses routine financial calculations as the motivation and basis for tools of elementary real analysis rather than taking the latter as given. Proofs using induction, recurrence relations and proofs by contradiction are covered. Inequalities such as the Arithmetic-Geometric Mean Inequality and the Cauchy-Schwarz Inequality are used. Basic topics in probability and statistics are presented. The student is introduced to elements of saving and investing that are of life-long practical use. These include savings and checking accounts, certificates of deposit, student loans, credit cards, mortgages, buying and selling bonds, and buying and selling stocks. The book is self contained and accessible. The authors follow a systematic pattern for each chapter including a variety of examples and exercises ensuring that the student deals with realities, rather than theoretical idealizations. It is suitable for courses in mathematics, investing, banking, financial engineering, and related topics.

Does money blur perspectives for a better life?
Lifting the money veil from our yardsticks of progress, income and wealth, reveals the trade-offs of economic growth. The book presents new indicators of the social, economic and ecological impacts of our lifestyles and production techniques. The indicators help to identify those responsible for these impacts and account for their accountability in terms of environmental and other ("social") costs.
Sustainable development is to bring about long-term prosperity without undermining its natural foundation. For the assessment of the opaque concept we need both, physical impact measures and environmentally modified ("green") indicators of income, capital and output.
Peter Bartelmus opens the dialogue between frequently hostile camps of economists and environmentalists, data producers and users, and scientists and policy makers. Together, they may steer us towards a sustainable future.

Recognizing the increasing importance of environmental issues, energy prices, material availability and efficiency and the difficulty of adequately managing these issues in traditional accounting systems, several companies all over the world have started implementing Environmental and Material Flow Cost Accounting (EMA and MFCA).

Environmental and Material Flow Costs Accounting explains and updates the approach developed for the United Nations Department of Economic and Social Affairs (DSD/UNDESA) and the International Federation of Accountants (IFAC) and in addition includes experiences of several case studies and recent developments regarding EMA and MFCA in national statistics and ISO standardization."

Stochastic calculus has important applications to mathematical finance. This book will appeal to practitioners and students who want an elementary introduction to these areas.

From the reviews: "As the preface says, 'This is a text with an attitude, and it is designed to reflect, wherever possible and appropriate, a prejudice for the concrete over the abstract'. This is also reflected in the style of writing which is unusually lively for a mathematics book." --ZENTRALBLATT MATH

No pleasure lasts long unless there is variety in it. Publilius Syrus, Moral Sayings We've been very fortunate to receive fantastic feedback from our readers during the last four years, since the first edition of How to Solve It: Modern Heuristics was published in 1999. It's heartening to know that so many people appreciated the book and, even more importantly, were using the book to help them solve their problems. One professor, who published a review of the book, said that his students had given the best course reviews he'd seen in 15 years when using our text. There can be hardly any better praise, except to add that one of the book reviews published in a SIAM journal received the best review award as well. We greatly appreciate your kind words and personal comments that you sent, including the few cases where you found some typographical or other errors. Thank you all for this wonderful support.

This book provides an introduction to probability theory and its applications. The emphasis is on essential probabilistic reasoning, which is illustrated with a large number of samples. The fourth edition adds material related to mathematical finance as well as expansions on stable laws and martingales.

From the reviews: "Almost thirty years after its first edition, this charming book continues to be an excellent text for teaching and for self study." -- STATISTICAL PAPERS

Stochastic optimization problems arise in decision-making problems under uncertainty, and find various applications in economics and finance. On the other hand, problems in finance have recently led to new developments in the theory of stochastic control. This volume provides a systematic treatment of stochastic optimization problems applied to finance by presenting the different existing methods: dynamic programming, viscosity solutions, backward stochastic differential equations, and martingale duality methods. The theory is discussed in the context of recent developments in this field, with complete and detailed proofs, and is illustrated by means of concrete examples from the world of finance: portfolio allocation, option hedging, real options, optimal investment, etc. This book is directed towards graduate students and researchers in mathematical finance, and will also benefit applied mathematicians interested in financial applications and practitioners wishing to know more about the use of stochastic optimization methods in finance.

Over the years, a shortage of funds has resulted in a huge deficit in government budgets for infrastructure, especially in developing economies. It is no longer feasible for governments to bear the entire burden of funding public infrastructure. Given that an inadequate supply of public infrastructure poses a challenge for the economic development of any country, partnerships with the private sector to fund public infrastructure procurement has started to be relied on as an alternative to traditional public procurement. Public-Private Partnerships are an arrangement that allow private entities to fund, design, manage and operate public infrastructure for a term in exchange for the payment of tolls by users or the government may well be the solution to the infrastructure crisis in many developing economies. This book examines the role of law in the adoption, implementation and regulation of Public-Private Partnership in selected developing economies including Brazil, India, Nigeria and South Africa to address how to deal with overlapping laws and how the law can protect assets invested in PPP in order to attract private sector interests in infrastructure financing in developing market, showing how law can be used to create, sustain and promote PPP frameworks that take into account local circumstances in developing economies.

This book provides an answer to the question, 'What does the finance and economics literature say about the determination and estimation of a project's cost of capital?'. Uniquely, it reviews both the theory of asset pricing in discrete time and a range of more applied topics which relate to project valuation, including the effects of corporate and personal taxes, the international dimension, estimation of the cost of equity in practice, and the cost of capital for regulated utilities. It seeks to explain models and arguments in a way which does justice to the reasoning, whilst minimising the prior knowledge of finance and maths expected of the reader. It acts as a bridge between a general undergraduate or MBA text in finance, accounting or economics, and the modern theoretical literature on the cost of capital.

Discovered in the seventies, Black-Scholes formula continues to play a central role in Mathematical Finance. We recall this formula. Let (B ,t? 0; F ,t? 0, P) - t t note a standard Brownian motion with B = 0, (F ,t? 0) being its natural ?ltra- 0 t t tion. Let E := exp B? ,t? 0 denote the exponential martingale associated t t 2 to (B ,t? 0). This martingale, also called geometric Brownian motion, is a model t to describe the evolution of prices of a risky asset. Let, for every K? 0: + ? (t) :=E (K?E ) (0.1) K t and + C (t) :=E (E?K) (0.2) K t denote respectively the price of a European put, resp. of a European call, associated with this martingale. Let N be the cumulative distribution function of a reduced Gaussian variable: x 2 y 1 ? 2 ? N (x) := e dy. (0.3) 2? ?? The celebrated Black-Scholes formula gives an explicit expression of? (t) and K C (t) in terms ofN : K ? ? log(K) t log(K) t ? (t)= KN ? + ?N ? ? (0.4) K t 2 t 2 and ? ?