Stander Symposium abstract book - University of Dayton
Stander Symposium abstract book - University of Dayton
Stander Symposium abstract book - University of Dayton
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
9:00 AM to 10:30 AM<br />
Non Domestic Revenue Trends and Stock Performance for Flyer Fund Stocks 2005-2011<br />
Presenter(s): AJ P Ziegler<br />
Advisor(s): Robert D Dean, John E Rapp<br />
Economics and Finance - Independent Research<br />
Increasingly, American companies are turning to overseas markets to grow top line revenue and bottom line earnings. The purpose <strong>of</strong> this study is<br />
to analyze revenue growth and revenue share trends for Flyer Fund stocks and overseas markets over the period 2005-2011. The primary objectives<br />
are to determine: 1) How many <strong>of</strong> the 55 Flyer Fund companies are selling overseas, 2) How fast is overseas revenue growing, 3) Is share <strong>of</strong> total<br />
revenue coming from overseas increasing?, 4) Are companies selling overseas experiencing growth in their share prices? Overseas revenue growth<br />
rates and revenue share percentages are calculated for each year as well as for the complete period. Stocks are also identified by industry/sector<br />
classifications. Results <strong>of</strong> the analysis are forthcoming.<br />
Same Old (New) Deal? Examining the Determinates <strong>of</strong> ARRA Spending<br />
Presenter(s): Amy A Pancher<br />
Advisor(s): Tony S Caporale<br />
Economics and Finance - Honors Thesis<br />
Some twenty-one months before the November 2010 elections, the United States Congress passed the American Recovery and Reinvestment<br />
Act <strong>of</strong> 2009, the primary goals <strong>of</strong> which were to preserve and create jobs, promote economic recovery, and to assist those most impacted by the<br />
recession. Previous studies have questioned whether political considerations played a role in the allocation <strong>of</strong> New Deal stimulus spending during<br />
the Roosevelt administration. The same question can be asked <strong>of</strong> the American Recovery and Reinvestment Act <strong>of</strong> 2009; was the $275 billion in<br />
government grants, contracts, and loans allocated solely in accordance with the legislationâs stated goals, or, considering the importance <strong>of</strong> an<br />
election held in a decennial census year and the subsequent congressional redistricting, did political determinates also play a role in how the<br />
funds were distributed?<br />
Upside/Downside Capture Ratios and S&P 500 Sector Returns in Volatile Markets<br />
Presenter(s): Chris P Sammons, Jessica Thomas<br />
Advisor(s): Robert D Dean, John E Rapp<br />
Economics and Finance - Independent Research<br />
The purpose <strong>of</strong> this study is to determine which S&P 500 sectors outperform in four types <strong>of</strong> markets. The first market is a long-term market that<br />
includes a series <strong>of</strong> upswings and downswings with an overall upward trend. We use the time period 2005-2011 to represent this type <strong>of</strong> market<br />
period. The second type <strong>of</strong> market, a downswing market, is represented by the time period 1/1/08-3/31/09. The third type <strong>of</strong> market, an upswing<br />
market, is represented by the time period 3/31/09-12/31/10. The fourth type <strong>of</strong> market is a trading range, or overall flat market, and is represented<br />
by the 12 months in 2011. Upside and downside capture ratios are calculated for all four market for all 10 S&P 500 sectors and compared for<br />
outperformance. Results are forthcoming.<br />
Exploring the Job Shop Queuing Environment<br />
Presenter(s): Zachary M Kaylor<br />
Advisor(s): John J Kanet<br />
MIS, OM, and Decision Sciences - Honors Thesis<br />
My research revolves around the job shop environment. The job shop is an environment in manufacturing where jobs arrive randomly and take a<br />
random amount <strong>of</strong> time to complete. For instance, a maker <strong>of</strong> specialized metal parts most likely involves some sort <strong>of</strong> job shop. The job shop can<br />
also represent a bottleneck in a larger manufacturing process. The main obstacle in the job shop is the queue <strong>of</strong> jobs waiting to be worked upon.<br />
The trick is to order the queue so as to perform the jobs to optimize for various metrics. These metrics vary and involve things such as the average<br />
time in shop to the aggregate lateness <strong>of</strong> the jobs. My research explores the repercussions <strong>of</strong> ordering the jobs using various queueing rules under<br />
a variety <strong>of</strong> conditions.<br />
58