Our Articles

Forecasting financial time series data can indeed be challenging due to various factors such as volatility, non-linearity, seasonality, and external market influences. These complexities make it crucial to utilize sophisticated techniques and models to generate accurate predictions.Common approaches to forecasting financial time series include using statistical models, such as ARIMA and its variations, to analyze linear dependencies and trends, or employing machine learning algorithms like RNN or LSTM to uncover complex patterns in the data. Alternative neural network architectures for time...

This article delves into Discounted Cash Flow models and explores the use of LSTM networks for more accurate growth rate estimation. It also proposes a simple ranking strategy that combines the DCF valuation approach with LSTM Network-based growth rate predictions.

Asset allocation represents one of the largest groups of investment strategies. We have selected nine of the most well-known strategies from this group and evaluated their performance over the recent 10-year period, from July 2013 to July 2023.

Active rotation is a dynamic investment strategy that requires regular portfolio adjustments to capitalize on evolving market conditions. Compared to other investment strategies, active rotation might be more time-consuming and complex, but it also presents greater potential for higher returns. By continually tweaking portfolio holdings, investors can exploit market inefficiencies and mispricings, potentially yielding higher returns than a traditional buy-and-hold strategy. In this article, we delve into the merits of active rotation, particularly focusing on sector rotation.

It is well known that the appropriate selection of assets and their respective weights in a portfolio can significantly influence investment outcomes. In this article, we will evaluate a variety of conventional instruments that may help protect portfolios against market downturns and enhance the risk-return profile, based on historical data. We will use metrics such as individual Compound Annual Growth Rates (CAGRs) and Sharpe ratios measured in different market regimes: RISK-ON and RISK-OFF. The ultimate goal is to identify a strategy that provides a favorable trade-off between performance in...