## # A tibble: 548 × 5
## # Groups: symbol [4]
## symbol date price change text
## <chr> <date> <dbl> <dbl> <glue>
## 1 GDPC1 1947-01-01 2034. NA 1947.1,
## Growth: NA
## 2 GDPC1 1947-04-01 2029. -0.00267 1947.2,
## Growth: -0.3%
## 3 GDPC1 1947-07-01 2025. -0.00207 1947.3,
## Growth: -0.2%
## 4 GDPC1 1947-10-01 2057. 0.0156 1947.4,
## Growth: 1.6%
## 5 GDPC1 1948-01-01 2087. 0.0150 1948.1,
## Growth: 1.5%
## 6 GDPC1 1948-04-01 2122. 0.0165 1948.2,
## Growth: 1.7%
## 7 GDPC1 1948-07-01 2134. 0.00573 1948.3,
## Growth: 0.6%
## 8 GDPC1 1948-10-01 2136. 0.00112 1948.4,
## Growth: 0.1%
## 9 GDPC1 1949-01-01 2107. -0.0138 1949.1,
## Growth: -1.4%
## 10 GDPC1 1949-04-01 2100. -0.00341 1949.2,
## Growth: -0.3%
## # … with 538 more rows
Analyze your client company’s data. Consider the following:
Timing Depth *Duration
Of Down turn in sales.
Timing Bank Of New Hampshire’s sales are lagging and coincide with the overall economy.This can be seen specifically in 2020 where the overall economy is shown crashing and slightly after Bank Of New Hampshire’s sales start to follow. Depth Bank of New Hampshire’s sales is slightly more volatile than the overall economy but I would say averages to be about the same as GDP most of the time. This should be expected since Bank Of New Hampshire’s sales are directly related to how well the economy is doing. Stating the exact depth is difficult though since in 2020 gdp is seen as very volatile compared too Bank of Americas sales. While in 2012 it is shown that Bank Of Americas sales were affected more than the overall economy. *Duration The Down turn of sales for Bank Of New Hampshire is about the same as on in the overall economy. This can be seen in areas of the graph since generally Bank of New Hampshires duration of loss in sales follows the drop in the economy for about he same period of time.