Using Different Types of Addition-Subtraction Frequency (ASF) Approach with Different Numbers of Input Variables to Predict Years of Financial Events after Fed Tightening

In this paper, different types of addition-subtraction frequency (ASF) approach with different numbers of input variables are presented to predict the years of financial events after Fed tightening. Combining the year records of essential financial events, we first use three types (full-traversal, equal-half-traversal and unequal-half-traversal) of ASF approach with three variables to do the experiments and make a contrast of these results. Next, we use the five-variable and seven-variable kinds of full-traversal ASF approach to make further investigations. Finally, after making the consistency analysis, 2020 and 2027 are considered to be the most possible years in which financial events might happen.