Thesis (doctoral)--Ruprecht-Karls-Universität Heidelberg, 1911. / Lebenslauf. Includes bibliographical references and (p. 7-8).

Thesis (doctoral)--Universität Königsberg i. Pr.

Thesis (Ph. D.)--University of California, Santa Cruz, 1998. / Typescript. Includes bibliographical references.

The recent growth of exchanges has generated large trading platforms for investors. The largest of these institutions, the Intercontinental Exchange and the Chicago Mercantile Exchange group are now responsible for clearing trades for the majority of investors worldwide and are perhaps, as large commercial banks are, too big to fail. This has attracted attention from international regulating bodies to impose strict risk management standards on the exchanges to ensure financial stability. In this thesis, we identify first, that an investor in the market is strongly affected by margins set by the exchanges in determining the transaction costs of a trade. We discuss the possibility that a volatile margin movement would introduce further risks for such an investor causing them to raise more capital to cover possible margin calls which can perhaps lead to procyclicality. We follow this work by addressing how margins can be determined in adherence to the new laws. Exchanges are now required to set margins based on the Value-at-Risk, hence we search for the best Value-at-Risk method for margining use. Here, we find that the simple Orthogonal Exponentially Weighted Moving Average method is sufficient in forecasting the Value-at-Risk, which contradicts a fair body of the literature who suggests that complex developments of GARCH are superior. We then offer methods for setting and evaluating margin requirements upon the Value-at-Risk estimates, concentrating on producing stable margin requirements. The automated methods produced in our work outperform all other methods available in the literature. Furthermore, we are the first to provide methods for assessing margin stability. Our work is timely in addressing the current affairs of the world economy and is among the first to tackle the margin stability issue in detail.

In this thesis, we study the behaviour and forecastability of exchange rates . Most of the existing literature on the forecasting of exchange rates concentrates on the end of the day price, commonly known as the 'close' price. Meese and Rogoff [30] show that this price tends to follow the naive random walk model, which implies that the best forecast for the next period is the current observed value. Instead, we study the dynamics and the predictability of the daily high and low prices using real-world data for the currency pairs GBP/USD, EUR/USD and AUD/USD. The daily high and low are the maximum and minimum prices reached for each 24-hour period by the currency pairs. We find strong evidence that the daily close prices lag these highs and lows. We use this knowledge to build an autoregressive distributed lag (ARDL) rolling regression model that produces one day ahead out-of-sample forecasts of these high and low prices. We also build an algorithm that uses already existing dynamic regression methods to correct for the autocorrelation often observed in time-series data. The window size used for the estimation of our model parameters is very important due to the nature of time series data. We propose an empirical method to find the best suitable window size for the estimation of these parameters. The out-of-sample predictability of our regression models is compared to a few benchmark models by using a number of different performance measures. We show that our models outperform these benchmark models in terms of their forecasting ability of high and low prices. Furthermore, a triggering method is developed for trading exchange rates using a saturation-reset linear feedback controller. First, we test our triggering method on an idealized market model, for which we propose a stochastic process. We then apply this triggering method to real-world data in order to study its performance. Finally, we construct trading strategies that combine these methods with our out-of-sample forecasts.

This work disserts upon information policy in Czechoslovakia in the 70`s and 80`s the 20th century. It concerns with program of national information policy for scientific and technical development P18 and P13 and its partial aims and tasks. It enters into details of activities of Central technical base, its services and functions in four five-year plans of national economy. It analyses System of Central technical base and its individual modules. It follows development of computer technique and information transfer technology. It concerns with International system of scientific and technical information and cooperation between countries of Council for Mutual Economic Assistance in connection with Central technical base (for example: information line Moscow-Prague-Vienna). This work is devoted to Center of computerized information exchange which negotiates a connection to countries in soviet area and also connection to capitalistic vendors. At the end there is a short part about development after 1990.