Abstract: This paper examines the links between economic growth and the nature of a country’s financial system. It is argued that long-run growth has its roots in resource accumulation, and in particular in knowledge accumulation. The financial system plays an important role in influencing both the amount and type of resource accumulation which actually takes place. In particular, financial market regulation distorts the incentives of financial intermediaries which, in turn, distorts the type of resource accumulation that takes place. It is also argued that the size of the gains derived from the development of the financial sector rests heavily on the ability of intermediaries to effectively screen and monitor lending proposals. Finally, the paper explores some of the implications of Australia’s financial market liberalisation.

Abstract: This paper considers some recent work on investment analysts' risk perceptions, and the usefulness of accounting and market data, and raises the perennial question of whether the data can be said to convey, or merely reflect, information on risk. It then examines the risk perceptions of UK investment analysts and finds they are substantially explained by three accounting variables and one market variable. The next step taken is to group securities into risk classes on the basis of risk perceptions, and to test whether discriminant analysis can be used to classify the securities successfully. The results show that accounting and market data are highly successful at predicting the perceived risk class of securities.

Abstract: From the Publisher: Until now, the power to visualize, interpret, and display key market data on consumer behavior, population shifts, sales statistics, and more, and translate this information advantage into superior marketing, sales, and distribution decisions was reserved for firms with mega-market research dollars and complex mainframe systems. Market Mapping gives consumer and business-to-business marketers - in any industry - a cost-effective competitive edge. It shows how to combine the speed and power of desktop computers with revolutionary new mapping software to pinpoint customers, conduct market research, position products and services, and analyze consumer purchase patterns at a fraction of the time and cost of conventional research. Market Mapping delivers powerful, precise techniques for turning crude, unshaped geographic data - telephone numbers, ZIP codes, addresses, population statistics, and more - into polished sales and marketing intelligence. This user-friendly guide evaluates the features and capabilities of today's most important mapping software - MapInfo, ARC/INFO, Tactician, Scan/U.S., Descartes, Atlas MapMaker, Atlas Pro, Atlas GIS, and other programs. It clearly explains how to create stunning, high-impact graphics and easily interpret this output. And it gives readers looking to go global the ability to access worldwide data sources for marketing decisions. Packed with numerous illustrations, comprehensive listings of demographic data sources, and engaging, hands-on case studies of actual marketing scenarios, Market Mapping shows you how to detect marketing trends and relationships often concealed by spreadsheets and conventional database reports; channel advertising dollars to media with different demographics; determine optimal product mixes for different sales regions; find new, more profitable retail locations; target and track successful direct-mail campaigns; and effectively reorganize a sales force. Market Mapping comes complete with glossary, p

Abstract: In an article in this journal, Hoyt and Trieschmann (1991) investigated mean returns for life-health, property-liability, and diversified insurers. Their stated goal was the assessment of whether identifiable risk-return advantages existed for investors in each of the three insurer segments during the period 1973 through 1987. Although their goal is appropriate and their study expands the focus of previous risk-return analyses, it suffers from a basic methodological fault, making the results and conclusions questionable. Focus of the Hoyt-Trieschmann Study According to Hoyt and Trieschmann, their study differs from previous risk-return investigations in several ways. Their study focuses upon a comparison of risk and return for all three segments of the insurance industry: life-health, property-liability, and diversified insurers.(1) Their analysis addresses whether investors gained by purchasing the stock of a diversified insurer rather than separately buying the stock of a life-health insurer and a property-liability insurer. By simultaneously examining all three segments of the insurance market over a similar time period, Hoyt and Trieschmann broadened the scope of previous risk-return examinations. Hoyt and Trieschmann's study examines risk-return issues, applying both the capital asset pricing model and mean-variance approaches, and uses both accounting and stock data. Because they use Value Line data, the market data and the risk measures they used were known by investors. Finally, the Hoyt-Trieschmann analysis incorporates the underwriting cycle for property liability insurers and "periods of rising and falling interest rates," a type of underwriting cycle proxy for life-health insurers, by using time periods that represent complete cycles. Weaknesses Inferences Not Valid The problems with Hoyt and Trieschmann's study arise from an abuse of the sampling process in making inferences about the population of insurers. Hoyt and Trieschmann's analysis of risk-return relationships for life-health, property-liability, and diversified insurers is based upon inadequate sample sizes (eleven life-health insurers, ten property-liability insurers, and nine diversified insurers). Their conclusions regarding the industry segments are speculative, since convenience in data collection seemingly outweighed unbiased and accurate scientific inquiry. Unfortunately, this small sample problem is not unique to Hoyt and Trieschmann. As Cox and Griepentrog (1988, p. 614) stated in this journal: |Hill and Modigliani~ cogently demonstrate the data limitation problems related to P-L insurer market returns when they cite their ten-firm sample of monthly returns for the 1967-1980 period as having "exhausted the possibilities of using data from financial markets to infer the risk of underwriting." One should not cast aside the steps in the sampling process necessary for accuracy of measurement and the ability to generalize the results to a larger population simply because the data are not readily available. Hoyt and Trieschmann acknowledge that the samples are small: "Although the number of insurers included in the study is relatively small, notice that Standard & Poor's, Dow Jones, A. M. Best, and Value Line all use similar stocks in their indexes for the three insurer segments." Such an explanation is inadequate and akin to the argument, "All of the other kids do it." In a published academic analysis, one expects an unbiased approach based upon the necessary requirements of the methodology employed. Researchers should not force through a method or model because of data constraints. Although insurance researchers are often tempted to utilize "mainstream" finance approaches, one must remember that financial return data are quite limited because of the confounded ownership of many stock insurers and the mutual form of ownership. There are not enough insurers for which share price or return data are available to make inferences about the overall insurer population. …

Abstract: Introduction to the financial system financial intermediation retail banking wholesale and international banking other deposit taking institutions investment institutions financial markets the market for equities interest rates and the bond market sterling money markets foreign exchange market Euro-securities markets financial futures and options managing risk via the financial markets the single European market, 1992 financial services the efficiency of the UK financial system regulation of the financial system.

Abstract: To what extent may access to the world financial markets help a poor country speed up its capital accumulation and its growth rate and, perhaps, catch up with the rich? In recent papers, Barro and Sala-i-Martin (1990, 1991) (henceforth BX) have challenged the conventional wisdom according to which financial integration may speed up “convergence.” They show indeed that the pattern of growth of regions (which have, one would guess, free access to their national financial markets) is not significantly different from the pattern of growth of nations (which are constrained by sovereign risk and subject to different fiscal policies). In both cases, they show that regions or nations appear to converge toward their steady state at the same speed of about 2% a year. In the conclusion of their latest paper (1991) they go as far as suggesting that regional integration such as that (spectacularly) undertaken in Germany will proceed at this quite universal speed of 2% a year, implying that about 25 years will be needed before half the gap between the two parts of Germany is closed. How can this be? What if West Germany were to devote all its resources to merge with its Eastern counterpart? In order to address these questions, I present-in the first part of this paper-a simple theoretical model in which I examine the effects of free access to the world financial markets on the pattern of growth of a (small) country. In the model that I examine, the conditions for convergence

Abstract: In order to combine data management, method management, and knowledge management an entity relationship model of marketing data is used. Particularities of marketing data and data analysis techniques as well as the requirements of the management of statistical data are taken into consideration. Both outcome of market research experiments and preliminary and final results of data analyses can be described. Data management in the knowledge-based system Wimdas is based upon this model. The implementation using a relational database system is discussed with emphasis laid on problems arising by the use for storage of statistical data and by distributing Wimdas in several components in a network. These problems are tackled by a server process acting as a gateway to the database.

Abstract: Developing the Organization and Technology to Support Treasury Operations The Common System: Treasury, Forex, Securities The Forex Room Planning for Better Technology Investments Market Data Filtering Analytics in Forex Contributions from Knowledge Engineering and Simulation Technological Synergy From Charting to Pattern Recognition New Tools Need a New Culture The Role of Networks in Globalization Networks for Trading and Client Service Services an Intelligent Network Can Provide Intellectual Capital and Strategic Planning Index.

Abstract: Methods for sound risk management are of increasing interest among Wall Street investment banking andbrokerage firms in the aftermath of the October 1987 crash of the stock market. As the knowledge of advancedtechnology applications in risk management increases, financial firms are finding innovative ways to use thempractically, in order to insulate themselves. The recent development in models, the software and hardware, andthe market data to track risk are all considered advances in Risk Management Technology (RMT). Theseadvances have affected all three stages of risk management: the identification, the measurement, and theformulation of strategies to control financial risk. This article discusses the advances made in five areas ofRMT: communication software, object-oriented programming, parallel processing, neural nets and artificialintelligence. Systems based on any of these areas may be used to add value to the business of a firm. Abusiness value linkage analysis shows how the utility of advanced systems can be measured to justify their costs.

Abstract: Financial growth and economic development growth with inflationary finance - 1945 the reforms of 1964 the development of equities markets in Brazil the indexation of financial assets in Brazil commercial banks, investment banks, coglomeration and the financial structure of firms toward new financial reform in Brazil.

Abstract: ~NNOVATION HAS ALWAYS been a hallmark of the financial services industry. Indeed, the history of finance can be organized as a chronicle of innovations. We can trace this history from the introduction of coinage in the Greek state of Lydia in the 7th century B.C., through the various ploys to circumvent the Christian and Islamic bans on usury in the medieval era, through the development of modern systems of insurance in the isth and 19th centuries, on up to more timely innovations such as foreign currency exchange warrants and interest-rate swaps.’

Abstract: There is pressure in developing countries for less regulated staple food markets. Public sector parastatals are being asked to justify their operations, streamline their operations and costs and to release many of their previous functions to the private market. This pressure raises issues about the ability of private markets to take on these roles and what is the optimal parastatal operational size. The answers to these questions depend upon the level of temporal, spatial and vertical integration of the food staple markets. Applying Price Analysis to Marketing Systems: Methods and Examples from the Indonesian Rice Market is intended as a comprehensive training manual for the various methodologies available to address the question of market integration. All methods are applied in a step-by-step, easy-to-follow manner to Indonesian rice market data. The book assumes only a rudimentary level of statistical knowledge and will be of interest to researchers and organizations concerned with the assessment of agricultural market performance in developing countries.