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Quantitative Forecasting Using QForecaster (English) - Qlytic Research

2018-12-10 17 Dailymotion

This video is about the Quantitative Investment Analysis which focuses on some key tools that are needed for today’s professional investor. Our website http://www.qlytic.com provides the basic tools of quantitative techniques, that are not only essential in financial decision-making but also applicable to all walks of life. The main beneficiaries are analysts, econometricians, investors, financial institutions or other organizations that have their own databases, as well as the academic community. If you want to know about what is regression analysis and what type of hypothesis testing is associated in regression, you are at a right place.

This video is also covering Qlytic’s desktop platform "QForecaster", an essential tool for forecasting. Forecasting future successfully is a challenging task. The most important is to understand the structure of your series or time series. But when modeling a large number of series, it is impractical to manually identify, diagnose and build a customized forecasting model for each series. This is where the automatic forecasting capabilities of QForecaster™ can help. QForecaster gives results with statistical validity taking into account appropriate models that are consistent, correctly specified and have strong predicting power.
If you want to find trends of your data or want to learn about forecasting, QForecaster can help a lot. Your all queries: How to model data?, How to estimate your sales or revenue? or How to forecast data? will be satisfied.
Real scenarios in various industries are complex and require practitioners' approach when modeling data. The QForecaster is giving few such scenarios as default within the context of finance and investment. Our forecaster is also compatible to all (particularly financial) databases. This Forecaster is an interesting product for financial institutions as it will facilitate asset tracking and auto valuation processes for equities and other financial assets.

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