Carlos Cardoso Neto's repositories
Portfolio_Construction_strategies
The project consists of investigating the empirical properties of financial market returns using US stock market data and empirically testing the performance of selected investment portfolios.
Insurance-company-customers-segmentation-
This project aims to develop a customer segmentation of an insurance company’s clients, in order for the marketing department to understand better its customers and hence apply the most suitable strategies. The considered models will be done through cluster analysis to determine similarities and differences between different clients’ profiles.
Credit_card_default_Classification
Data mining models to predict which credit cardholders from Taiwan banks will likely default on the following month, by implementing a CRISP-DM methodology
Forecasting-the-number-of-motor-insurance-claims
The Project 1 objective consists in developing a predictive data analytics solution for a French insurance company, following a CRISP-DM methodology. The developed model seeks to forecast the number of claims each policyholder will have in the following year. By having this information, the insurance company could adjust its pricing model for the next year’s premiums according to the predicted number of claims
Bonds-Financial-Derivatives-
The go was building a code capable to pricing bonds and interest rates, estimating cash flows, interest rate swaps, hedge positions, cap and floor for the bond.
Pricing-Structure-for-the-Automobile-Insurance-portfolio
Pricing Structure for the Automobile Insurance portfolio
Text-Minig-Stock-Market-Predictions
The goal of this project is to develop an NLP model capable of predicting the daily closing values of a stock market index based on news text.