Stuttgart, Univ, Diss., 2001. / Gedr. Ausg. im Geodätischen Inst. der Univ. Stuttgart. Computerdatei im Fernzugriff.

Stuttgart, Univ, Diss., 2001. / Gedr. Ausg. im Geodätischen Inst. der Univ. Stuttgart. Computerdatei im Fernzugriff.

Stuttgart, Univ, Diss., 2001.

No description available.

Master of Agribusiness / Department of Agricultural Economics / Vincent R. Amanor-Boadu / Livestock production is a crucial industry in North Carolina. Broilers, turkeys, and hogs all have tremendous amounts of production numbers that are steadily growing particularly on the broiler side. This thesis seeks to explore the trends in three basis indicators and explore their effects on corn prices in North Carolina. Given the significant role corn plays in livestock production in the state and the deficit situation it finds itself in with respect to corn, these analyses may illuminate some challenges that may adversely affect the long term competitiveness of the poultry industry in the state. Already, hog and turkey production seems to be migrating out of the state possibly due to feed costs. The importance of this study is to help identify innovative solutions to arrest the increasing adverse effects of feed costs on North Carolina’s livestock industry. Using statistical analyses and data on corn prices and three basis indicators, CSX-90, Norfolk-Southern 75, and Truck Only, we show that while corn prices, on average, have declined slightly over the past several years, the transportation costs associated with moving corn into North Carolina have increased for all three options evaluated. The average growth rate in CSX 90 was approximately 7.4% per annum compared to 7.7% for NS-75 and 12.4% for truck only. Thus, while average annual trucking costs were lower than the rail transportation by between 82% and 92%, it was growing at more than 50% the growth rate in rail prices. Interestingly, we observe that the difference between the paired basis were all statistically significant at the 1% level. For this example the difference between the monthly average CSX 90 and trucking only was about $0.29, with a t-statistic of 17.34 and a p-value of 0.00. Similarly, the difference between the monthly average CSX-90 and NS-75 was $-.04, with a t-statistic of 3.35 and a p-value of 0.00. The foregoing reveal the advantage of sourcing corn via trucking given its lower basis. However, the higher variability in trucking compared to rail and the rapid growth rate in trucking suggests that an innovative strategic approach be adopted to overcome its potential long-term effect on corn prices. We show that a careful assessment of what the livestock industry in North Carolina is currently doing and what it needs to do could shed light on how to deal with this situation. Fixed assets like feed mills, production facilities, and slaughter facilities determine the type of access to outside rail or access to local markets. These assets are unlikely to change and therefore it is important to build an efficient supply chain to decrease marginal costs.

No description available.

In this thesis, we integrate the particular solutions of singularly perturbed partial differential equations into radial basis collocation method to solve two kinds of boundary layer problem.

This dissertation reexamines the theoretical and empirical relation between future period returns and current period accruals. Prior studies find a negative relation between current period accruals and future returns. This finding (the accrual anomaly) is often attributed to either (a) investors mispricing accrual persistence or (b) investors mispricing the growth information contained in current accruals. In this study, I show that accruals are a natural manifestation of firm growth and contraction and that the information contained in accruals is not associated with future returns. This finding holds for multiple accrual definitions and decompositions. My study provides an alternative explanation for the accrual anomaly. In addition, I provide economic intuition and empirical evidence suggesting that the accrual anomaly is a function of the value/growth anomaly. In contrast to prior studies which use a two-period model to show the negative association between accruals in period one and returns in period two, I employ a three period log-linear model decomposed from a firm’s book-to-market ratio and show that investors do not misprice the information contained in accruals. My study shows that in the four year period prior to accrual recognition, equity prices tend to be driven disproportionately by intangible returns, or returns not explained by accounting measures. Accordingly, the relation between prior-period intangible returns and future-period returns may subsume the relation between current-period accruals and future returns. Empirical tests support this explanation. / text

Thesis (Ph. D.)--University of Texas at Austin, 2008. / Vita. Includes bibliographical references.

Thesis (Ph. D.)--Texas A&M University, 2006. / "May 2006." "Major subject: Mathematics." Vita. Includes bibliographical references (p. 67-70). Also available online.