A Python walk down to strategic analytics
The purpose of this exercise is to build a model to qualify bank clients that have more chances of bullying a loan. Qualifying customers is really important on phone marketing activities as our cost could increase if we work with … Continued
In this post I am going to do a forecast for an Airline company using the model Arima. To do so, I will stationarize the series, I will study the seasonality, the autocorrelations and partial autocorrelation to determine the optimal … Continued
In this post I am going to analyze returns, cumulative returns and Sharpe ratio for different assets such as : Bitcoin, different currencies, Interest Rates, Bonds, Stock indexes, futures over Stock indexes and Commodites. At the end I will calculate … Continued
In this post I will calculate Value At Risk for 1 stock using python. I will do the calculations normal returns and log normal returns and later on I will calculatee the Value at Risk for a portfolio of values. … Continued
In this first post I will analyze the classical Diamond´s dataset. The purpose of this analysis is determining the price of diamonds based on their characteristics. To do so, I will do a exploratory data analysis, features engineering, features standardization … Continued
