The Determinants of Recovery Rates on Defaulted Corporate Securities: Why do Fallen Angels recover more than Original High Yield Issues?

Regression analysis has shown that recovery rates are determined by a variety of conditions at the time of default. These conditions can be broken into five major categories: (1) a security's seniority within the capital structure of the defaulting firm, (2) the type of default event, (3) firm-specific factors, (4) industry-specific factors, and (5) macroeconomic factors. Expectations of these inputs determine the expected recovery rate if default were to occur, thereby determining credit ratings and security prices. Although it is widely understood how recovery rate estimates influence credit rating assignments (the higher the expected recovery rate, the higher the assigned credit rating), no research, to the best of my knowledge, has investigated the reasons why higher rated securities recover more than lower rated securities in the event of default. Specifically, this paper will empirically investigate why securities originally rated investment grade, fallen angels, recover more than securities originally rated high yield in the event of default.

DEMOGRAPHICS OF NATURAL DISASTER HOTSPOTS IN MAINE

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Effects of Alcohol and Training on Exercise Performance and Muscle Recovery Biochemistry in the Brown Anole (Anolis sagrei)

Contrary to previous research, training may improve exercise performance in a lizard, the brown anole. A brief, two-week training period resulted in increased performance speed and distance before exhaustion in trained lizards. Trained lizards were also able to more effectively use leg glycogen stores, however each of these improvements were not found in lizards treated with alcohol. Liver glycogen concentrations were also lower in alcohol-treated lizards, and patterns of liver glycogen concentrations during recovery indicate some hepatic lactate gluconeogenesis.

Demographics of Natural Disaster Hotspots in Maine

Natural disasters can cause extensive damage to communities and infrastructure. The state of Maine is fairly lucky because natural disasters are relatively infrequent. Maine does, however, experience earthquakes, flooding, hurricanes, and landslides. Certain areas of the state are more prone to experience natural disaster than others. Using GIS analysis, we are analyzing natural disaster hotspots in Maine to determine if there is a statistically significant relationship between natural disaster susceptibility and socioeconomic variables including income and population.