Sequential Binary Investment Decisions
Download Sequential Binary Investment Decisions PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Sequential Binary Investment Decisions book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Sequential Binary Investment Decisions
Author: Werner Jammernegg
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
This book describes some models from the theory of investment which are mainly characterized by three features. Firstly, the decision-maker acts in a dynamic environment. Secondly, the distributions of the random variables are only incompletely known at the beginning of the planning process. This is termed as decision-making under conditions of uncer tainty. Thirdly, in large parts of the work we restrict the analysis to binary decision models. In a binary model, the decision-maker must choose one of two actions. For example, one decision means to undertake the invest ·ment project in a planning period, whereas the other decision prescribes to postpone the project for at least one more period. The analysis of dynamic decision models under conditions of uncertainty is not a very common approach in economics. In this framework the op timal decisions are only obtained by the extensive use of methods from operations research and from statistics. It is the intention to narrow some of the existing gaps in the fields of investment and portfolio analysis in this respect. This is done by combining techniques that have been devel oped in investment theory and portfolio selection, in stochastic dynamic programming, and in Bayesian statistics. The latter field indicates the use of Bayes' theorem for the revision of the probability distributions of the random variables over time.
Design of Master Agreements for OTC Derivatives
Author: Dietmar Franzen
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
I first came across the issue of derivatives documentation when writing my diploma thesis on measuring the credit risk ofOTC derivatives while I was an economics student at the University of Bonn. Despite the fact that security design has been an area of research in economics for many years and despite the widespread use of derivatives documentation in financial practice, the task of designing contracts for derivatives transactions has not been dealt with in financial theory. The one thing that aroused my curiosity was that two parties with usually opposing interests, namely banking supervisors and the banking industry's lobby, unanimously endorse the use ofcertain provisions in standardized contracts called master agreements. Do these provisions increase the ex ante efficiency of contracts for all parties involved? I actually began my research expecting to find support for the widely held beliefs about the efficiency or inefficiency of certain provisions and was sur prised to obtain results that contradicted the conventional wisdom. I would strongly advise against using these results in any political debate on deriva tives documentation. They were obtained within a highly stylized model with some restrictive assumptions. This work should rather be seen as an attempt to formalize the discussion on derivatives documentation and to challenge the notion that certain provisions are generally ex ante efficient. It is also an invitation to all those advocating the use of certain provisions in master agreements to formalize their arguments and to explain the economic ratio nale behind these provisions.
Fuzzy Multiple Objective Decision Making
Author: Young-Jou Lai
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
In the last 25 years, the fuzzy set theory has been applied in many disciplines such as operations research, management science, control theory, artificial intelligence/expert system, etc. In this volume, methods and applications of crisp, fuzzy and possibilistic multiple objective decision making are first systematically and thoroughly reviewed and classified. This state-of-the-art survey provides readers with a capsule look into the existing methods, and their characteristics and applicability to analysis of fuzzy and possibilistic programming problems. To realize practical fuzzy modelling, it presents solutions for real-world problems including production/manufacturing, location, logistics, environment management, banking/finance, personnel, marketing, accounting, agriculture economics and data analysis. This book is a guided tour through the literature in the rapidly growing fields of operations research and decision making and includes the most up-to-date bibliographical listing of literature on the topic.