A Multidimensional Framework for Financial-Economic Decisions

Most financial-economic decisions are made consciously, with a clear and constant drive to ???good???, ???better??? or even ???optimal??? decisions. Nevertheless, many decisions in practice do not earn these qualifications, despite the availability of financial economic theory, decision sciences and ample resources. We plea for the development of a multidimensional framework to support financial economic decision processes. Our aim is to achieve a better integration of available theory and decision technologies. We sketch (a) what the framework should look like, (b) what elements of the framework already exist and which not, and (c) how the MCDA community can co-operate in its development.decision making;finance;decision analysis;financial decisions;multiple criteria

Future Agribusiness Challenges: Strategic Uncertainty, Innovation and Structural Change

The IFAMR is published by the International Food and Agribusiness Management Association.(IFAMA) www.ifama.orgStrategic uncertainty, innovation, structural change, Agribusiness, Research and Development/Tech Change/Emerging Technologies, Risk and Uncertainty, ISSN #: 1559-2448,

Decision support for firm performance by real options analytics

This paper develops a real options decision support tool for raising the performance of the firm. It shows how entrepreneurs can use our intuitive tool quickly to assess the nature and type of action required for improved performance. This exploits our estimated econometric relationship between precipitators of entrepreneurial opportunities, time until exercise, and firm performance. Our 3D chromaticity plots show how staging investments, investment time, and firm performance support entrepreneurial decisions to embed, or to expedite, investments. Speedy entrepreneurial action is securely supported with this tool, without expertise in econometric estimation or in formulae for real options valuation

Valuation implications of pharmaceutical companies' R&D regulatory approval notifications

This paper examines shareholder wealth effects surrounding applications to, and approvals by, the United States Food and Drug Administration (FDA) for firms listed on the New York (NYSE) and London (LSE) stock exchanges. Applications to the FDA for drug approvals significantly increase shareholder wealth for NYSE firms only. The increase is driven by applications for enhancements to existing drugs, with the market anticipating the application, thus suggesting information leakage. FDA approvals also significantly increase shareholder wealth in both markets. However, there is no evidence of information leakage and the significant post-event abnormal returns support the attention-grabbing hypothesis. Enhanced drug approvals are value-relevant for both markets, which highlights the contribution of real-options to firm value

A Real Options Perspective On R&D Portfolio Diversification

This paper shows that the conditionality of investment decisions in R&D has a critical impact on portfolio risk, and implies that traditional diversification strategies should be reevaluated when a portfolio is constructed. Real option theory argues that research projects have conditional or option-like risk and return properties, and are different from unconditional projects. Although the risk of a portfolio always depends on the correlation between projects, a portfolio of conditional R&D projects with real option characteristics has a fundamentally different risk than a portfolio of unconditional projects. When conditional R&D projects are negatively correlated, diversification only slightly reduces portfolio risk. When projects are positively correlated, however, diversification proves more effective than conventional tools predict.real options;portfolio analysis;research & development

Influence of Portfolio Management in Decision-Making

Purpose: Today’s manufacturing facilities are challenged by highly customized products and just in time manufacturing and delivery of these products. In this study, a batch scheduling problem has been addressed to enable on-time completion of customer orders in a lean manufacturing environment. The problem is optimizing the partitioning of product components into batches and scheduling of the resulting batches where each customer order is received as a set of products made of various components. Design/methodology/approach: Three different mathematical models for minimization of total earliness and tardiness of customer orders are developed to provide on-time completion of customer orders and also, to avoid excess final product inventory. The first model is a non-linear integer programming model whereas the second is a linearized version of the first. Finally, to solve larger sized instances of the problem, an alternative linear integer model is presented. Findings: Computational study using a suit set of test instances showed that the alternative linear integer model is able to solve all test instances in varying sizes within quite shorter computer times compared to the other two models. It has also been showed that the alternative model is able to solve moderate sized real-world problems. Originality/value: The problem under study differentiates from existing batch scheduling problems in the literature owing to the inclusion of new circumstances that are present in real-world applications. Those are: customer orders consisting of multi-products made of multi-parts, processing of all parts of the same product from different orders in the same batch, and delivering the orders only when all related products are completed. This research also contributes to the literature of batch scheduling problem by presenting new optimization models.Peer Reviewe

Financing practices in the German venture capital industry : an empirical assessment

This paper investigates the financial contracting behavior of German venture capitalists against the results of recent theoretical work on the design of venture capital contracts, especially with regard to the use of convertible securities. First, we identify a special feature of the German market, namely that public-private partnership agencies require significantly lower returns than private and young venture capitalists. The latter are most likely to follow their North-American counterpart by refinancing themselves with closed-end funds. Second, with regard to financing practices it is shown that the use of convertibles, relative to other instruments, is influenced by the anticipated severity of agency problems. Klassifikation: C24; G24; G3

Capital Requirements for Latin American Banks in Relation to their Market Risks: The Relevance of the Basle 1996 Amendment to Latin America

Banks` market or `trading` risks have increased noticeably over the past years, largely as a result of the growth of liquid assets on banks` balance sheets and the increase in banks` off-balance sheet activities. Well-publicized bank failures and significant capital losses have focussed further attention on these developments. In January 1996, the Basle Committee recommended the imposition of capital charges related to banks` trading risks, and the European Community`s Capital Adequacy Directive (CAD) came into force on January 1st, adopting, in part, the Basle Amendment. The G10 countries are committed to full implementation of these recommendations by the end of 1997. This paper reviews the main features of the Basle Amendment, which allows banks a choice between a `standardized methodology` and the use of their own internal models, subject to the authorization of the relevant supervisor and a set of parameter values. The relevance of this regulation for Latin America is analysed in the light of the region`s characteristics. We suggest that these characteristics increase rather than diminish the importance of the implementation of market risk capital requirements in Latin America.

Technique interrelationships and the pursuit of relevance in marketing theory

School of Managemen