Paul Bilokon's Books

Machine Learning in Finance

From Theory to Practice

By: Matthew F. Dixon,Igor Halperin,Paul Bilokon

Write a review Read reviews Take a Quiz Solve Book Puzzle

Machine Learning in Finance

From Theory to Practice

By: Matthew F. Dixon,Igor Halperin,Paul Bilokon

This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance. Machine Learning in Finance: From Theory to Practice is divided into three parts, each part covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective. The more advanced material places a firm emphasis on neural networks, including deep learning, as well as Gaussian processes, with examples in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type used in finance with examples in trading, stochastic volatility and fixed income modeling. Finally, the third part presents reinforcement learning and its applications in trading, investment and wealth management. Python code examples are provided to support the readers' understanding of the methodologies and applications. The book also includes more than 80 mathematical and programming exercises, with worked solutions available to instructors. As a bridge to research in this emergent field, the final chapter presents the frontiers of machine learning in finance from a researcher's perspective, highlighting how many well-known concepts in statistical physics are likely to emerge as important methodologies for machine learning in finance.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

565

Publisher

Springer Nature

Published Date

ISBN 10

3030410684

ISBN 13

9783030410681

Machine Learning and Big Data with kdb+/q

By: Jan Novotny,Paul A. Bilokon,Aris Galiotos,Frederic Deleze

Write a review Read reviews Take a Quiz Solve Book Puzzle

Machine Learning and Big Data with kdb+/q

By: Jan Novotny,Paul A. Bilokon,Aris Galiotos,Frederic Deleze

Upgrade your programming language to more effectively handle high-frequency data Machine Learning and Big Data with KDB+/Q offers quants, programmers and algorithmic traders a practical entry into the powerful but non-intuitive kdb+ database and q programming language. Ideally designed to handle the speed and volume of high-frequency financial data at sell- and buy-side institutions, these tools have become the de facto standard; this book provides the foundational knowledge practitioners need to work effectively with this rapidly-evolving approach to analytical trading. The discussion follows the natural progression of working strategy development to allow hands-on learning in a familiar sphere, illustrating the contrast of efficiency and capability between the q language and other programming approaches. Rather than an all-encompassing “bible”-type reference, this book is designed with a focus on real-world practicality to help you quickly get up to speed and become productive with the language. Understand why kdb+/q is the ideal solution for high-frequency data Delve into “meat” of q programming to solve practical economic problems Perform everyday operations including basic regressions, cointegration, volatility estimation, modelling and more Learn advanced techniques from market impact and microstructure analyses to machine learning techniques including neural networks The kdb+ database and its underlying programming language q offer unprecedented speed and capability. As trading algorithms and financial models grow ever more complex against the markets they seek to predict, they encompass an ever-larger swath of data – more variables, more metrics, more responsiveness and altogether more “moving parts.” Traditional programming languages are increasingly failing to accommodate the growing speed and volume of data, and lack the necessary flexibility that cutting-edge financial modelling demands. Machine Learning and Big Data with KDB+/Q opens up the technology and flattens the learning curve to help you quickly adopt a more effective set of tools.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

640

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119404754

ISBN 13

9781119404750

The Transition to National Armies in the Former Soviet Republics, 1988-2005

By: Jesse Paul Lehrke

Write a review Read reviews Take a Quiz Solve Book Puzzle

The Transition to National Armies in the Former Soviet Republics, 1988-2005

By: Jesse Paul Lehrke

This book looks at the militaries of the late-Soviet and post-Soviet republics. Beginning with the end of the Soviet era, it recognises that the successor states did not spring from nowhere, but inherited a legacy that influenced all that followed. The book discusses how politicians control the instruments that are the manifestation of the state’s monopoly on violence, and how society views and supports the military. By taking a bottom up empirical approach that examines the personnel, leaders, organisations and institutions, and their outlook and attitudes, the book presents a comprehensive picture of the armed forces, showing how the armed forces are very significantly shaped by the surrounding political and social environment. The book goes on to examine the armed forces in action, and highlights that to truly understand the militaries, studies need to go beyond looking at the static structures.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

266

Publisher

Routledge

Published Date

ISBN 10

1135108862

ISBN 13

9781135108861

Machine Learning in Finance

From Theory to Practice

By: Matthew F. Dixon,Igor Halperin,Paul Bilokon

Write a review Read reviews Take a Quiz Solve Book Puzzle

Machine Learning in Finance

From Theory to Practice

By: Matthew F. Dixon,Igor Halperin,Paul Bilokon

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

565

Publisher

Springer Nature

Published Date

ISBN 10

3030410684

ISBN 13

9783030410681

Machine Learning and Big Data with kdb+/q

By: Jan Novotny,Paul A. Bilokon,Aris Galiotos,Frederic Deleze

Write a review Read reviews Take a Quiz Solve Book Puzzle

Machine Learning and Big Data with kdb+/q

By: Jan Novotny,Paul A. Bilokon,Aris Galiotos,Frederic Deleze

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

640

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119404754

ISBN 13

9781119404750

Paul Robeson For Beginners

By: Von Blum, Paul

Write a review Read reviews Take a Quiz Solve Book Puzzle

Paul Robeson For Beginners

By: Von Blum, Paul

Paul Robeson, despite being one of the greatest Renaissance figures in American history, still remains in relative anonymity. An exceptional scholar, lawyer, athlete, stage and screen actor, linguist, singer, civil rights and political activist, he performed brilliantly in every professional enterprise he undertook. Any serious treatment of civil rights history and radical politics as well as American sports, musical, theatrical, and film history must consider the enormous contributions of Paul Robeson. And yet, Paul Robeson remains virtually unknown by millions of educated Americans. People typically know him for only one, if any, of the major successes of his life: the concert singer best known for “Old Man River,” the star of Shakespeare’s Othello on Broadway in the early 1940s, the political activist blacklisted for his radical views and activism during the era of McCarthyism in the 1950s. Paul Robeson For Beginners demystifies and bestows light and long overdue credence to the life of this extraordinary American.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

141

Publisher

For Beginners, LLC

Published Date

ISBN 10

1934389811

ISBN 13

9781934389812

The Readings of the Paul Solomon Source

By: Paul Solomon

Write a review Read reviews Take a Quiz Solve Book Puzzle

The Readings of the Paul Solomon Source

By: Paul Solomon

Comprises of the readings that Paul gave towards the end of his life during the period of December 15, 1993 - May 28, 1992. This book contains the words of Paul Solomon, one of the most influential spiritual teachers of our time.

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

695

Published Date

ISBN 10

1907179100

ISBN 13

9781907179105

Book's by Paul Bilokon

Machine Learning in Finance

Machine Learning in Finance

Machine Learning and Big Data with kdb+/q

Machine Learning and Big Data with kdb+/q

The Transition to National Armies in the Former Soviet Republics, 1988-2005

The Transition to National Armies in the Former Soviet Republics, 1988-2005

Machine Learning in Finance

Machine Learning in Finance

Machine Learning and Big Data with kdb+/q

Machine Learning and Big Data with kdb+/q

Paul Robeson For Beginners

Paul Robeson For Beginners

The Readings of the Paul Solomon Source

The Readings of the Paul Solomon Source

Username

Password

Username

Password

Password again

Birthday

Email