The competitive outlook for the U.S. copper industry was seriously questioned in the mid-1980's in light of differential wages, reserve bases, environmental enforcement, and comparable rates of technical dissemination among country producers. These concerns coincided with the displacement of U.S. output by Chilean expansion and ascendancy of the latter to the number one ranking of world producers. Explanations for U.S. competitive decline ranged from the availability of international agency credit lines for competing state-run copper producers to labor-management relations in the U.S. This dissertation examines the timing of Chilean emergence and U.S. response in relation to flexible exchange rates and monetary policy regimes of the 1980's. Previous analyses of world and North American market structure and change focused on market imperfections on the supply side or supply and stock influences in major demand centers. Earlier speculations about Chilean expansion have proved correct, but U.S. capacity displacement appears to be limited. This dissertation examines the effectiveness of earlier models when updated to the 1980's, redefines structure to achieve better fits, and tests the new model with simulations of quantity and price. World monetary policy, debt, and developing country trade policies have changed dramatically since the late 1970's. These changes together with earlier nationalization initiatives have injected significant new questions of commodity price translation and traded versus nontraded goods substitution into analyses of market behavior. The analysis developed and described in this research shows that real exchange rates of specified copper-producing countries are a significant factor in output expansion and market share gains under conditions of stable labor agreements and monetary policy. These components serve to explain how producer share gains such as for Chile were achieved during cyclical low price periods and historically high refined consumer stock conditions. Additional explanatory power is given for U.S. import and export activity in refined copper. Qualifications are given for selected producing countries that are experiencing continued output decline in the wake of Chilean-U.S. competition. The simulation results show an improvement in forecasting ability over previous models for selected country mine production, including Chile, and import-export activity for the U.S. Comparable high quality results are generated for copper price using standard model configuration. Significant errors remain, as in the overestimation of U.S. mine production recovery due to the lack of better measures of production and investment cycles in the primary copper industry. Downsizing of new or rebuilt U.S. capacity through technical shift is also not captured.

Yau Cheuk Man. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1995. / Includes bibliographical references (leaves 46-47). / Lists of figure --- p.iii / Acknowledgment --- p.iv / Chapter / Chapter 1 --- Introduction --- p.1 / Chapter 2 --- Model1 --- p.6 / Chapter 2.1 --- The basic model --- p.7 / Chapter 2.2 --- The modified model --- p.11 / Chapter 2.3 --- Coordination policy --- p.19 / Chapter 2.4 --- Capital mobility --- p.21 / Chapter 3 --- Model2 --- p.23 / Chapter 3.1 --- The basic model --- p.24 / Chapter 3.2 --- The modified model --- p.28 / Chapter 3.3 --- Coordination policy --- p.35 / Chapter 3.4 --- Capital mobility --- p.37 / Chapter 4 --- Conclusion --- p.39 / REFERENCES --- p.46

An analytical method for predicting life-cycle maintainability labor costs is developed. The purpose of the analytical method is to allow the evaluation of products, based on life-cycle labor cost, early in the design process. The Boeing 737-300/400/500 Bleed Air Control System is used as a test model, and the results of the analysis are compared with historical data from this system. Four prospective design changes to the Bleed Air Control System are analyzed to demonstrate the ability of the analytical method to compare different designs or design changes. / Graduation date: 1997

This dissertation explores different aspects of the interaction between money and asset prices. The first chapter investigates how a firm’s financing affects its decision to update prices: does linking interest rates to inflation alter the firm’s optimal price updating strategy? Building on the state dependent pricing models of Willis (2000) and the price indexing literature of Azariadis and Cooper (1985) and Freeman and Tabellini (1998), this model investigates the financing and price updating decisions of a representative firm facing state-dependent pricing and a cash-in-advance constraint. The model shows the circumstances under which a firm’s financing decision affects its price updating decision, and how the likelihood of changing prices affects the amount borrowed. It also illustrates how the use of nominal (as opposed to inflation-linked) interest rates leads to a lower frequency of price updating and higher profits overall for a firm facing menu costs and sticky prices. The second chapter extends the bank run literature to present a theoretical mechanism that explains how money supply can affect asset prices and asset price volatility. In a two period asset allocation model, agents faced with uncertainty cannot perfectly allocate assets ex-ante. After income shocks are revealed, they will be willing to pay a premium over the future fundamental value for an asset in order to consume in the current period. The size of this premium is directly affected by the supply of money relative to the asset. This paper explores the relationship between economy-wide monetary liquidity on the mean and variance of equity returns and in relation to market liquidity. At an index level, I test the impact of money-based liquidity measures against existing measures of market liquidity. I proceed to do a stock level analysis of liquidity following Pastor and Stambaugh (2003). The results indicated that measures of aggregate money supply are able to match several of the observed relationships in stock return data much better than market liquidity. At an individual stock level, monetary liquidity is a priced factor for individual stocks. Taken together, these papers support the idea that changes in the money supply have consequences for the real economy. / text

Milton Friedman’s article on the optimum quantity of money has motivated much research since its publication. While most of the research has been on deterministic frameworks, a few models (e.g. Bewley 1983, Taub 1989) have extended the analysis to stochastic environments. The first two essays of the dissertation address the issue in two types of stochastic economies. In both the models, quadratic utility and linear constraints have been used to facilitate the use of Whiteman’s techniques (1985). The third essay introduces capital and derives the optimal rate of monetary policy in the presence of financial intermediaries. In the first essay a pure exchange model in which infinitely lived agents face stochastically varying endowments in each period is considered. In this model individuals can delay payment for purchases into the future with a credit card. It shows that the optimal rate of inflation is the same in a world where individuals are required to pay for their purchases immediately as in a world where they can delay payment with a credit card. Moreover, the optimal inflation rate may be positive or negative depending on the parameters of the model. Therefore, Bewley’s (1983) conjecture that deflation should proceed at a rate greater than the rate of time preference in a world of uncertainty is not generally true. The second essay derives the optimum quantity of money in a stochastic production economy. The optimum quantity of money literature largely ignores the effect of labor supply on money’s optimal rate of return. This paper examines the issue in an economy that is subject to stochastic shocks each period. It shows that incorporating production affects the optimal return on money in important ways. If there are individual specific shocks to preferences, then the optimal policy is highly inflationary. When individual preferences are subject to economy wide shocks, however, it is possible for either inflation or deflation to be optimal. The optimal policy depends on the weight individuals attach to the disutility of work and the weight individuals attach to the utility from holding money. Optimal policy responds positively to increases in the disutility from work and negatively to increases in the weight on consumption in the utility function. The paper therefore shows the sensitivity of the optimal policy on the way labor supply is modeled. Since such considerations do not arise in endowment economies, the optimal policy will generally change as one moves from endowment to production economies. In the third essay the Tobin effect and optimal monetary policy are analyzed when financial intermediaries develop endogenously. Providing a justification for the development of intermediaries similar to those found in the recent financial intermediation literature, we show that financial intermediation significantly affects investment decisions and monetary policy. In particular, the cost to intermediaries of providing substitutes of outside money play a critical role. Whether a decrease in the return on outside money will increase investment or not is found to depend on how the cost of providing alternative means of payment is affected. It is found that at low and moderate rates of inflation the Tobin effect remains valid. At high rates of inflation, however, the Tobin effect gets reversed. Further, since borrowers have private information regarding the outcome of the investment projects financed by the lenders, credit rationing may occur in equilibrium. We also derive the rate of return on money that maximizes social welfare. This optimal rate of return is not only dependent on the cost of the alternative means of payment, it also depends critically on whether credit is rationed in equilibrium or not. Finally, the paper highlights some of the distributional issues raised by a change in the rate of return on money. / Ph. D.

published_or_final_version / Real Estate and Construction / Doctoral / Doctor of Philosophy

published_or_final_version / Business Administration / Master / Master of Business Administration

M.Com. (Economics) / Please refer to full text to view abstract

M.Comm. (Econometrics) / Please refer to full text to view abstract

In this study the prediction capabilities of Artificial Neural Networks and typical econometric methods are compared. This is done in the domains of Finance and Economics. Initially, the Neural Networks are shown to outperform traditional econometric models in forecasting nonlinear behaviour. The comparison is extended to indicate that the accuracy of share price forecasting is not necessarily improved when applying Neural Networks rather than traditional time series analysis. Finally, Neural Networks are used to forecast the South African inflation rates, and its performance is compared to that of vector error correcting models, which apparently outperform Artificial Neural Networks. / Prof. D.J. Marais