The quantity equation is given by M * V = P * Y. My motivation here is: although recent CPI (inflation) numbers are higher (> 5.0%), they aren’t nearly as high as you might expect given the dramatic jump in the quantity of money (I’m just looking at M1 here).

21.1.1 This is a seasonal model without a trend 21.1.1 The following seasonal dummy model estimates the quarterly growth rate (in percentage terms) of housing starts … The model’s intercept (δ) equals +1.

T2-20-25 20.25.1. Over the prior ten months of the calendar year, below is plotted the monthly growth rate of a new cryptocurrency. Two months ago, the growth rate was + 0.

20.24.3. Eric is a commodity analyst who fit four different candidate AR(p) models to a series of oil prices. For each of the candidate models, he then retrieved the Akaike information criterion (AIC) and the Bayesian information criterion (BIC).

20.24.2. Elizabeth is an economist tasked with modeling quarterly gross domestic product (GDP) in the United States. She starts with the plots displayed below. The raw data is displayed in the upper; she observes this GDP trend is obviously not stationary (why?

On behalf of my customers and myself, this memo has three goals. One, to warn you of reputational risks that are accruing to the FRM product, at least online. Two, to convince you there is an opportunity for improvement in the FRM product. Three, if those arguments are convincing, to learn that the Committee will take some concrete steps to make improvements. With that agenda, at the end of this memo, after asking important questions, I offer recommendations and suggestions.