Shadows of a thousand years rise again unseen, voices whisper in the trees, “Tonight is HALLOWEEN.”
When looking at comparisons for the particular HDMA data set and the data set presented in class the denial rates continued to increase. These rates still managed to gain speed and increase such data sets.
Loans are always a popular area and will remain this way for years to come. They seem to always carry at the same rate for the most part. Property value and making sure one can get their said money out of a property is a leading factor in the type of loan or business an individual might choose.
The refinancing area of data was most fascinating to me due to the past and current economy fluctuations. The changes remain steady throughout the years. Most families this day in time have to refinance their residencies due to various life turns.
You need to show some details here with the data you analyzed. That is the whole point of the assignment and this class.
For example:
Overall, the rate of denial for each racial category in the 2014 LAR was slightly higher (approximately between two and five percentage points) than those in the combined 4-1 and 4-2 HMDA data. For example, LAR Data showed American Indians/Alaskan Natives being rejected at a rate of 32 percent, while the combined HDMA data showed this group rejected at 29 percent. Whites were rejected at 13% in the HDMA data, while they had a rejection rate of 20 percent in the LAR data.