Open Access. Powered by Scholars. Published by Universities.®
Finance and Financial Management Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Finance and Financial Management
Finding Profitability Of Technical Trading Rules In Emerging Market Exchange Traded Funds, Austin P. Hallett
Finding Profitability Of Technical Trading Rules In Emerging Market Exchange Traded Funds, Austin P. Hallett
CMC Senior Theses
This thesis further investigates the effectiveness of 15 variable moving average strategies that mimic the trading rules used in the study by Brock, Lakonishok, and LeBaron (1992). Instead of applying these strategies to developed markets, unique characteristics of emerging markets offer opportunity to investors that warrant further research. Before transaction costs, all 15 variable moving average strategies outperform the naïve benchmark strategy of buying and holding different emerging market ETF's over the volatile period of 858 trading days. However, the variable moving averages perform poorly in the "bubble" market cycle. In fact, sell signals become more unprofitable than buy signals …
The Potential Application Of Weather Derivatives To Hedge Harvest Value Risk In The Champagne Region Of France, Andrew W. Yandell
The Potential Application Of Weather Derivatives To Hedge Harvest Value Risk In The Champagne Region Of France, Andrew W. Yandell
CMC Senior Theses
In Champagne, France grape growers and and winemakers work together to make the world's most iconic sparkling wine. Part of what makes Champagne so celebrated is its reputation for constant quality: only the best grapes are used to make wine. In poor vintage years, grape growers sell less grapes to winemakers; poor vintages are the result of bad weather. This presents the opportunity for grape growers to hedge the risk of poor weather and resulting lower harvest values with weather derivatives. This study explores the potential for grape growers to trade them to effectively hedge against low harvest values by …