Thesis (M.A.)--Cincinnati Bible College & Seminary, 2002. / Includes abstract and vita. Includes bibliographical references (leaves 117-123).

Thesis (M.A,)--Cincinnati Christian University, 2005. / Abstract and vita. Includes bibliographical references (leaves 106-108).

Thesis (M.A,)--Cincinnati Christian University, 2005. / Abstract and vita. Includes bibliographical references (leaves 106-108).

Thesis (M.A.)--Cincinnati Bible College & Seminary, 2002. / Includes abstract and vita. Includes bibliographical references (leaves 117-123).

I compared various MIDAS (mixed data sampling) regression models to predict volatility from one week to one month with different regressors based on the records of Chinese Shanghai composite index. The main regressors are in 2 types, one is the realized power (involving 5-min absolute returns), the other is the quadratic variation, computed by squared returns. And realized power performs best at all the forecast horizons. I also compare the effect of lag numbers in regression, form 1 to 200, and it doesn’t change much after 50. In 3 week and month predict horizons, the fitness result with different lag numbers has a waving type among all the regressors, that implies there exists a seasonal effect which is the same as predict horizons in the lagged variables. At last,the out-of -sample and in-sample result of RV and RAV are quite similar, but in sometimes, out-of sample performs better.

This essay investigates the potential educational mismatch of immigrants compared to natives concerning the Swedish labor market. The data is collected from the European Social Survey between 2002-2014. Our results show that immigrants tend to be more overeducated than natives. Our results also indicate that more recent cohorts are more likely to be overeducated compared to cohorts that have lived for a longer time period in Sweden. Disparities in language and country specific skills but also if a person belong to an ethnic minority are reasons for why these mismatches occur.

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This dissertation consists of two chapters that examine the construction of financial market volatility indexes and their forecasting efficiency across predictive regression models. Each of the chapter is devoted to diferent volatility measures which are related and evaluated in thframework of forecasting regressions. The first chapter studies the sampling and liquidity issues in constructing volatility indexes, VIX and VXO, in emerging options market like Taiwan. VXO and VIX have been widely used to measure the 22-day forward volatility of the market. However, for an emerging market, VXO and VIX are difficult to measure with accuracy when tradings of the second and next to second nearby options are illiquid. The chapter proposes four methods to sample the option prices across liquidity proxies ¡V five different days of rollover rules ¡V for option trades to construct volatility index series. The paper finds that, based on the sampling method of the average of all midpoints of bid and ask quote option prices, the volatility indexes constructed by minute-tick data have less missing data and more efficient in volatility forecast than the method suggested by CBOE. Additionally, illiquidity in emerging options market does not, based on different rollover rules, lead to substantial biases in the forecasting effectiveness of the volatility indexes.Finally, the forecasting ability of VIX, in terms of naive forecasts and forecasting regressions, is superior to VXO in Taiwan. The second chapter uses high-frequency intraday volatility as a benchmark to measure the efficacy of model-free and model-based econometric models. The realized volatility computed from intraday data has been widely regarded as a more accurate proxy for market volatility than squared daily returns. The chapter adopts several time series models to assess the fore-casting efficiency of future realized volatility in Taiwan stock market. The paper finds that, for 1-day directional accuracy forecast performance, semiparametric fractional autoregressive model (SEMIFAR, Beran and Ocker, 2001) ranks highest with 78.52% hit accuracy, followed by multiplicative error model (MEM, Engle, 2002), and augmented GJR-GARCH model. For 1-day forecasting errors evaluated by root mean squared errors (RMSE), GJR-GARCH model augmented with high-low range volatility ranks highest, followed by SEMIFAR and MEM model, both of which, however, outperform augmented GJR-GARCH by the measure of mean absolute value (MAE) and p-statistics (Blair et al., 2001).

Introduction: Enterprise recourse planning (ERP) is a system that combines software, hardwareand people to manage information The aim of this study is to investigate ERP systems effect onbusiness performance (advertised vs. realized benefits) and user’s complaints. It also aims toidentify the most important issue a company faces after implementing an ERP system and if thisstops potential benefits from happening. This will be viewed from a user’s perspective. Approach/Methodology: This research includes qualitative and quantitative primary data withsecondary data to answer the research questions posed. It is based on a number of semistructuredinterviews of people well versed in ERP systems presented in case study form.Alongside, it also utilizes a series of questionnaires presented in tabular form. The data wasanalyzed and linked with theory to provide answers and test assumptions. Findings: ERP systems provide their advertised benefits to a large extent. The most importantorganizational issue after implementing an ERP system is resistance to change and this issueaffects the benefits realization of the system. Finally, user’s complaints about ERP systems arevaried and include the speed of the system, support in error situations and general complexity. Conclusions: Even though it provides many benefits in business performance, an ERP system,selection and implementation in a company is a critical step. The whole process is complicated,resource consuming, takes a long time and can encounter problems. Mistakes in theimplementation cost a company more resources to fix after they happen. In this case preventionis better than cure and the best medicine.Implications and Value of research: ERP system implementation and use should bemethodically planned from the beginning to get maximum benefits realization. This is especiallyimportant in effectively managing change in an organization. In this issue, top level managersshould be aware and committed to. Suggestion for future studies: A possible research that could correlate user complaintcategories already established with age group of respondents under a global perspective.

Three Bureau of Reclamation projects, which represent a broad cross-section of the eleven total in Utah, are studied in order to shed light on the value of the invested resources to U.S. taxpayers, the people of Utah, and the local farmers. The bureau's nonmultiple-purpose projects in Utah are termed "supplemental" as opposed to "full-service" because some amount of irrigation was already in place. Recent findings from field trials of yield vs. evapotranspiration for major crops grown in the Western states were employed to assess the annual productive value of existing river water rights had the three projects not been built. Annual estimates of crop values or revenues for each project were obtained from Bureau of Reclamation publications. However, an allowance for annual crop production costs is needed in order to arrive at annual project net incomes (net benefit streams). Cost per acre data were obtained from published intermittent farm studies and reports of farm budgets beginning as early as 1910. This information was then converted to a series of trends in annual production costs by linking to reported indices of farm prices paid as reported by the USDA for the past 80 years. Projects are arbitrarily judged to be "economically efficient" if the estimated internal rate of return at least exceeds borrowing cost to the U.S. Treasury at the time that each project was built, e.g., from 3.5 to 4.5 percent. Only the Strawberry project results suggest that the borrowing rate was exceeded. The Newton project has realized a slight positive return of less than 1 percent, and the Hyrum project has realized negative returns. Thus, the economic results of the bureau's irrigation program in the state have been mixed. Claims of great benefits from water development are not substantiated by the study results. The only unambiguous beneficiaries are farmers whose included lands had very poor or no water rights prior to project construction.