Future stock prices depend on many internal and external factors that are not easy to evaluate. In this paper, we use the Hidden Markov Model, (HMM), to predict a daily stock price of three active trading stocks: Apple, Google, and Facebook, based on their historical data. We first use the...

Future stock prices depend on many internal and external factors that are not easy to evaluate. In this paper, we use the Hidden Markov Model, (HMM), to predict a daily stock price of three active trading stocks: Apple, Google, and Facebook, based on their historical data. We first use the...

Because of limitations in survey-based measures of household consumption, a growing literature uses an alternative measure of consumption commonly referred to as `imputed consumption'. This approach utilizes annual snapshots of household income and wealth from administrative tax registries to...

"This groundbreaking book will be the first to address the alternative data topic in the world of investing and risk management. It will illustrate, also by practical examples and code: How to navigate the thick jungle of generated data as of today, which techniques are the most suitable for...

1. Einführung: Kausale Aussagen und Prognosemodelle -- 2. Abhängige Variablen mit begrenztem Wertebereich -- 3. Zeitreihenanalyse und dynamische Modelle -- 4. Paneldatenanalyse -- 5. Instrumentvariablen -- 6. Strukturgleichungsmodelle -- 7. Fehlende Werte (Missing values) -- 8. Ergänzungen.