NolunG / Distance-To-Default

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Distance-To-Default

Computed Distance do Default for random 250 firms from the COMPUSTAT universe, each year from 1970 to 2020.

Used 3 methods to calculate distance to default. Alll 3 methods and Formuales are added as a picture.

Method 1: Naive Computation using the KMV model

Method 2: Directly Solving for the Unknowns

Method 3: Distance Default using the KMV model: Iterative Method

Merged COMPUSTAT and CRSP data to get fundamental and market variables respectively. Computed DD and PD for these firms for each year (as of Jan 1 of each year)

Computed the correlations between these three measures of DD and PD

Compute the descriptive statistics for NBER recession and NBER recession .

Plotted DD and PD with the recession data and generated insights (https://fred.stlouisfed.org/series/USREC)

Plotted DD and PD along with Moody's BAA-Fed Fund Spread (https://research.stlouisfed.org/fred2/series/BAAFFM)

Plotteed DD and PD against the Cleveland Financial Stress Index (https://research.stlouisfed.org/fred2/series/CFSI)

About


Languages

Language:Jupyter Notebook 100.0%