Thesis (doctoral)--Groningen, 1981. / Includes bibliographical references (p. 535-542) and index.

Thesis (Ph. D.)--University of North Texas, Dec., 2009. / Title from title page display. Includes bibliographical references.

Thesis (M.S.)--University of Wisconsin--Madison, 1966. / eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

Thesis (Ph. D.)--University of Chicago, Department of Political Science, June 2000. / Includes bibliographical references. Also available on the Internet.

Thesis (Ph. D.)--University of Chicago, Dept of History, June 2000. / Includes bibliographical references. Also available on the Internet.

Thesis (Ph. D.)--University of Chicago, 2000. / Includes bibliographical references (p. 408-441).

This thesis is concerning the problematic of derivatives which can be applicable for commodity risk hedging. The futures contracts and options are utilized for hedging commodity risk on oil market. For purposes of this work is designed a trading strategy, which consists of exponential moving average and expiration cycle of the options. The strategy is tested on historical oil prices. Because the strategy shows promising outputs it was employed on setting options strategy as well. The hedging options strategy collar is tested on historical prices of oil. Testing on historical prices discovered that it is profitable for processor to hedge the oil price by futures contracts. For producer it is more profitable to hedge the price by employing standard collar strategy. On the other side the bear collar strategy generated quite unconvincing outputs for processor. When the out-the-money bear collar war modified into in-the-money bear collar the outputs were satisfactorily profitable.

This study was designed to probe the experience of white collar unemployment. Some research results suggest that white collar people have an easier time with unemployment than do blue collar people while other findings suggest the contrary. A questionnaire format instrument was designed to record self-reported changes of an affective and behavioural nature in a sample of 66 white collar and 24 blue collar unemployed adults. It was hypothesized that on the whole, the blue collar sample would report a more difficult response to unemployment than the white collar sample. It was further hypothesized that after an unspecified period of time the unemployed white collar sample would become passive and depressed. Twelve variables focusing on learned helplessness, self-esteem, depression, locus of control, social interaction, time structure, personal meaning and perceived measures of health and finances were recorded and intercorrelated in this relationship study. Correlation matrices were constructed for the general sample, the white collar and the blue collar sub-samples. Reliability and validity coefficients of the instrument were calculated on each variable and were found to be acceptable for the purpose of this study. The relationships among the variables supported the notion that generally, the people in the blue collar unemployed sample experienced more difficulty with unemployment than did those people in the white collar sample. The white collar sample subjects did not, however, show a significant disposition toward passivity and depression as a function of time. Instead, the data suggested the presence of a second white collar subgroup who appeared to be experiencing great personal difficulties regardless of the duration of their unemployment. It was suggested that the appearance of a bi-modal white collar sample was the result of the sampling technique, and further that these results may reflect the state of the real world. This position is offered as a possible justification for the contradictory white collar unemployment findings in the past. / Education, Faculty of / Educational and Counselling Psychology, and Special Education (ECPS), Department of / Graduate

No description available.

published_or_final_version / Mental Health / Master / Master of Social Sciences