Verwandte Artikel zu Pairs Trading: A Bayesian Example

Pairs Trading: A Bayesian Example - Softcover

 
9781887187152: Pairs Trading: A Bayesian Example

Inhaltsangabe

Have you ever wondered whether Bayesian analysis can be applied toward the stock market? We did, and set out to investigate.This book shows you how to find relationships between stocks or exchange traded funds (ETFs) using Bayesian analysis.A relationship that most traders are probably familiar with is linear correlation. This is sometimes used as the basis for pairs trading. But linear correlation is just one way that stocks or ETFs can be related.The analysis we present in this book can be used to exploit almost any kind of relationship that may exist between stocks or ETFs. The book will show how to calculate the probability of a stock or ETF ending the day up or down based on what other stocks or ETFs are doing.A probability is more useful than a simple up or down signal. It quantifies the certainty of a prediction and allows a trader to take a position consistent with a given level of risk.Any active trader should find the techniques presented in this book useful. We are only going to examine the relationships in one small group of ETFs as an example of what is possible but the same techniques will work for any set of stocks, ETFs, or even bonds.The tool we use to calculate the probability of a positive or negative return on a stock or ETF is called a Bayesian classifier. It is called a classifier because it calculates probabilities for only two discrete outcomes: positive or negative.The method we use to calculate these probabilities is called Bayes' Theorem.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Reseña del editor

Have you ever wondered whether Bayesian analysis can be applied toward the stock market? We did, and set out to investigate. This book shows you how to find relationships between stocks or exchange traded funds (ETFs) using Bayesian analysis. A relationship that most traders are probably familiar with is linear correlation. This is sometimes used as the basis for pairs trading. But linear correlation is just one way that stocks or ETFs can be related. The analysis we present in this book can be used to exploit almost any kind of relationship that may exist between stocks or ETFs. The book will show how to calculate the probability of a stock or ETF ending the day up or down based on what other stocks or ETFs are doing. A probability is more useful than a simple up or down signal. It quantifies the certainty of a prediction and allows a trader to take a position consistent with a given level of risk. Any active trader should find the techniques presented in this book useful. We are only going to examine the relationships in one small group of ETFs as an example of what is possible but the same techniques will work for any set of stocks, ETFs, or even bonds. The tool we use to calculate the probability of a positive or negative return on a stock or ETF is called a Bayesian classifier. It is called a classifier because it calculates probabilities for only two discrete outcomes: positive or negative. The method we use to calculate these probabilities is called Bayes' Theorem.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Gratis für den Versand innerhalb von/der Deutschland

Versandziele, Kosten & Dauer

Suchergebnisse für Pairs Trading: A Bayesian Example

Foto des Verkäufers

Hollos, J. Richard|Hollos, Stefan
Verlag: ABRAZOL PUB, 2012
ISBN 10: 1887187154 ISBN 13: 9781887187152
Neu Softcover

Anbieter: moluna, Greven, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. Bestandsnummer des Verkäufers 905721403

Verkäufer kontaktieren

Neu kaufen

EUR 50,83
Währung umrechnen
Versand: Gratis
Innerhalb Deutschlands
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

J Richard Hollos
Verlag: Abrazol Publishing, 2012
ISBN 10: 1887187154 ISBN 13: 9781887187152
Neu Paperback / softback
Print-on-Demand

Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 168. Bestandsnummer des Verkäufers C9781887187152

Verkäufer kontaktieren

Neu kaufen

EUR 57,23
Währung umrechnen
Versand: EUR 4,73
Von Vereinigtes Königreich nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb

Foto des Verkäufers

Hollos, Stefan; Hollos, J. Richard
ISBN 10: 1887187154 ISBN 13: 9781887187152
Neu Taschenbuch

Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Taschenbuch. Zustand: Neu. Neuware - Have you ever wondered whether Bayesian analysis can be applied toward the stock market We did, and set out to investigate.This book shows you how to find relationships between stocks or exchange traded funds (ETFs) using Bayesian analysis.A relationship that most traders are probably familiar with is linear correlation. This is sometimes used as the basis for pairs trading. But linear correlation is just one way that stocks or ETFs can be related.The analysis we present in this book can be used to exploit almost any kind of relationship that may exist between stocks or ETFs. The book will show how to calculate the probability of a stock or ETF ending the day up or down based on what other stocks or ETFs are doing.A probability is more useful than a simple up or down signal. It quantifies the certainty of a prediction and allows a trader to take a position consistent with a given level of risk.Any active trader should find the techniques presented in this book useful. We are only going to examine the relationships in one small group of ETFs as an example of what is possible but the same techniques will work for any set of stocks, ETFs, or even bonds.The tool we use to calculate the probability of a positive or negative return on a stock or ETF is called a Bayesian classifier. It is called a classifier because it calculates probabilities for only two discrete outcomes: positive or negative.The method we use to calculate these probabilities is called Bayes' Theorem. Bestandsnummer des Verkäufers 9781887187152

Verkäufer kontaktieren

Neu kaufen

EUR 66,79
Währung umrechnen
Versand: Gratis
Innerhalb Deutschlands
Versandziele, Kosten & Dauer

Anzahl: 2 verfügbar

In den Warenkorb

Beispielbild für diese ISBN

Hollos, Stefan; Hollos, J. Richard
Verlag: Abrazol Publishing, 2012
ISBN 10: 1887187154 ISBN 13: 9781887187152
Neu Softcover

Anbieter: Lucky's Textbooks, Dallas, TX, USA

Verkäuferbewertung 5 von 5 Sternen 5 Sterne, Erfahren Sie mehr über Verkäufer-Bewertungen

Zustand: New. Bestandsnummer des Verkäufers ABLIING23Mar2912160267742

Verkäufer kontaktieren

Neu kaufen

EUR 39,57
Währung umrechnen
Versand: EUR 63,56
Von USA nach Deutschland
Versandziele, Kosten & Dauer

Anzahl: Mehr als 20 verfügbar

In den Warenkorb