Tagged finance

A writeup on what I have done and learned in Ernst & Young as a Technology Risk & Compliance Auditor in Financial Services.

A comparative study of neural network models (LSTM, CNN-LSTM) for S&P 500 index prediction. The analysis evaluates multiple architectures against baseline strategies like buy-and-hold and naive forecasting, finding that while specialized models like LSTM with Batch Normalization and Regularization improve technical error metrics (MSE, MAE). However, when tested with a simulated trading, beating market returns remains a significant challenge requiring further architectural and strategy refinement.

An exploration into traditional investment strategies, comparing the performance of 'Buy and Hold' and 'Dollar Cost Averaging' across volatile stock datasets.

An in depth exploration of stock market data through feature engineering and pattern recognition. This study analyzes historical price changes and volatility to identify trends across diverse companies using custom statistical metrics and datetime features.

Part 2 of the analysis focuses on High Risk Financial Vehicles (HRFV), data collected with the Malaysian dataset were inspired by and referenced from a Ghanaian study. We explore how financial literacy influence perception and participation in activities like sports betting and cryptocurrency.

We compare the Romanian dataset with our own surveyed dataset and explore the relationship between the sociodemographic and financial behaviour, with financial well being and financial literacy.