amen saeed (26 resultados)

Hardcover. Condición: Very Good. No Jacket. Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Hardback. Condición: New. The first and only book to systematically address methodologies and processes of leveraging non-traditional information sources in the context of investing and risk management Harnessing non-traditional data sources to generate alpha, analyze markets, and forecast risk is a subject of intense interest for financial professionals. A growing number of regularly-held conferences on alternative data are being established, complemented by an upsurge in new papers on the subject. Alternative data is starting to be steadily incorporated by conventional institutional investors and risk managers throughout the financial world. Methodologies to analyze and extract value from alternative data, guidance on how to source data and integrate data flows within existing systems is currently not treated in literature. Filling this significant gap in knowledge, The Book of Alternative Data is the first and only book to offer a coherent, systematic treatment of the subject. This groundbreaking volume provides readers with a roadmap for navigating the complexities of an array of alternative data sources, and delivers the appropriate techniques to analyze them. The authors-leading experts in financial modeling, machine learning, and quantitative research and analytics-employ a step-by-step approach to guide readers through the dense jungle of generated data. A first-of-its kind treatment of alternative data types, sources, and methodologies, this innovative book: Provides an integrated modeling approach to extract value from multiple types of datasetsTreats the processes needed to make alternative data signals operationalHelps investors and risk managers rethink how they engage with alternative datasetsFeatures practical use case studies in many different financial markets and real-world techniquesDescribes how to avoid potential pitfalls and missteps in starting the alternative data journeyExplains how to integrate information from different datasets to maximize informational value The Book of Alternative Data is an indispensable resource for anyone wishing to analyze or monetize different non-traditional datasets, including Chief Investment Officers, Chief Risk Officers, risk professionals, investment professionals, traders, economists, and machine learning developers and users.

Hardback. Condición: New. The first and only book to systematically address methodologies and processes of leveraging non-traditional information sources in the context of investing and risk management Harnessing non-traditional data sources to generate alpha, analyze markets, and forecast risk is a subject of intense interest for financial professionals. A growing number of regularly-held conferences on alternative data are being established, complemented by an upsurge in new papers on the subject. Alternative data is starting to be steadily incorporated by conventional institutional investors and risk managers throughout the financial world. Methodologies to analyze and extract value from alternative data, guidance on how to source data and integrate data flows within existing systems is currently not treated in literature. Filling this significant gap in knowledge, The Book of Alternative Data is the first and only book to offer a coherent, systematic treatment of the subject. This groundbreaking volume provides readers with a roadmap for navigating the complexities of an array of alternative data sources, and delivers the appropriate techniques to analyze them. The authors-leading experts in financial modeling, machine learning, and quantitative research and analytics-employ a step-by-step approach to guide readers through the dense jungle of generated data. A first-of-its kind treatment of alternative data types, sources, and methodologies, this innovative book: Provides an integrated modeling approach to extract value from multiple types of datasetsTreats the processes needed to make alternative data signals operationalHelps investors and risk managers rethink how they engage with alternative datasetsFeatures practical use case studies in many different financial markets and real-world techniquesDescribes how to avoid potential pitfalls and missteps in starting the alternative data journeyExplains how to integrate information from different datasets to maximize informational value The Book of Alternative Data is an indispensable resource for anyone wishing to analyze or monetize different non-traditional datasets, including Chief Investment Officers, Chief Risk Officers, risk professionals, investment professionals, traders, economists, and machine learning developers and users.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

hardcover. Condición: New.

Hardcover. Condición: Brand New. 392 pages. 9.25x5.25x1.00 inches. In Stock.

Condición: New.

Condición: New. Brand new! Please provide a physical shipping address.

Condición: New. This book mixes history on the ancient world with investment ideas for traders involved in financial markets today. It goes through ideas such as measuring risk, whether investors should try to outperform the market, Black Swans and ways of creating appropriate investment targets. It will appeal to professional traders and retail investors. Num Pages: 223 pages, biography. BIC Classification: KFF; KFFH; KFFM. Category: (G) General (US: Trade). Dimension: 235 x 155 x 11. Weight in Grams: 332. . 2014. Paperback. . . . .

Hardback. Condición: New. The first and only book to systematically address methodologies and processes of leveraging non-traditional information sources in the context of investing and risk management Harnessing non-traditional data sources to generate alpha, analyze markets, and forecast risk is a subject of intense interest for financial professionals. A growing number of regularly-held conferences on alternative data are being established, complemented by an upsurge in new papers on the subject. Alternative data is starting to be steadily incorporated by conventional institutional investors and risk managers throughout the financial world. Methodologies to analyze and extract value from alternative data, guidance on how to source data and integrate data flows within existing systems is currently not treated in literature. Filling this significant gap in knowledge, The Book of Alternative Data is the first and only book to offer a coherent, systematic treatment of the subject. This groundbreaking volume provides readers with a roadmap for navigating the complexities of an array of alternative data sources, and delivers the appropriate techniques to analyze them. The authors-leading experts in financial modeling, machine learning, and quantitative research and analytics-employ a step-by-step approach to guide readers through the dense jungle of generated data. A first-of-its kind treatment of alternative data types, sources, and methodologies, this innovative book: Provides an integrated modeling approach to extract value from multiple types of datasetsTreats the processes needed to make alternative data signals operationalHelps investors and risk managers rethink how they engage with alternative datasetsFeatures practical use case studies in many different financial markets and real-world techniquesDescribes how to avoid potential pitfalls and missteps in starting the alternative data journeyExplains how to integrate information from different datasets to maximize informational value The Book of Alternative Data is an indispensable resource for anyone wishing to analyze or monetize different non-traditional datasets, including Chief Investment Officers, Chief Risk Officers, risk professionals, investment professionals, traders, economists, and machine learning developers and users.

Condición: New. This book mixes history on the ancient world with investment ideas for traders involved in financial markets today. It goes through ideas such as measuring risk, whether investors should try to outperform the market, Black Swans and ways of creating appropriate investment targets. It will appeal to professional traders and retail investors. Num Pages: 223 pages, biography. BIC Classification: KFF; KFFH; KFFM. Category: (G) General (US: Trade). Dimension: 235 x 155 x 11. Weight in Grams: 332. . 2014. Paperback. . . . . Books ship from the US and Ireland.

Condición: New.

Condición: New. pp. 224.

Hardback. Condición: New. The first and only book to systematically address methodologies and processes of leveraging non-traditional information sources in the context of investing and risk management Harnessing non-traditional data sources to generate alpha, analyze markets, and forecast risk is a subject of intense interest for financial professionals. A growing number of regularly-held conferences on alternative data are being established, complemented by an upsurge in new papers on the subject. Alternative data is starting to be steadily incorporated by conventional institutional investors and risk managers throughout the financial world. Methodologies to analyze and extract value from alternative data, guidance on how to source data and integrate data flows within existing systems is currently not treated in literature. Filling this significant gap in knowledge, The Book of Alternative Data is the first and only book to offer a coherent, systematic treatment of the subject. This groundbreaking volume provides readers with a roadmap for navigating the complexities of an array of alternative data sources, and delivers the appropriate techniques to analyze them. The authors-leading experts in financial modeling, machine learning, and quantitative research and analytics-employ a step-by-step approach to guide readers through the dense jungle of generated data. A first-of-its kind treatment of alternative data types, sources, and methodologies, this innovative book: Provides an integrated modeling approach to extract value from multiple types of datasetsTreats the processes needed to make alternative data signals operationalHelps investors and risk managers rethink how they engage with alternative datasetsFeatures practical use case studies in many different financial markets and real-world techniquesDescribes how to avoid potential pitfalls and missteps in starting the alternative data journeyExplains how to integrate information from different datasets to maximize informational value The Book of Alternative Data is an indispensable resource for anyone wishing to analyze or monetize different non-traditional datasets, including Chief Investment Officers, Chief Risk Officers, risk professionals, investment professionals, traders, economists, and machine learning developers and users.

Condición: New. This book mixes history on the ancient world with investment ideas for traders involved in financial markets today. It goes through ideas such as measuring risk, whether investors should try to outperform the market, Black Swans and ways of creating appropriate investment targets. It will appeal to professional traders and retail investors. Num Pages: 208 pages, biography. BIC Classification: KFFM2. Category: (P) Professional & Vocational. Dimension: 239 x 174 x 23. Weight in Grams: 502. . 2014. Hardcover. . . . .

Hardcover. Condición: Brand New. 193 pages. 10.00x6.50x1.00 inches. In Stock.

Condición: New. This book mixes history on the ancient world with investment ideas for traders involved in financial markets today. It goes through ideas such as measuring risk, whether investors should try to outperform the market, Black Swans and ways of creating appropriate investment targets. It will appeal to professional traders and retail investors. Num Pages: 208 pages, biography. BIC Classification: KFFM2. Category: (P) Professional & Vocational. Dimension: 239 x 174 x 23. Weight in Grams: 502. . 2014. Hardcover. . . . . Books ship from the US and Ireland.

Condición: As New. Unread book in perfect condition.

Hardcover. Condición: As New. Autorensignatur. What can the ancient world teach us about modern money markets? This engaging exploration delves into how ancient philosophers and writers can illuminate today's trading landscape. By examining the past, traders may uncover valuable insights for contemporary markets. The author, Saeed Amen, draws parallels between ancient wisdom and modern trading strategies, emphasizing that the pursuit of quick profits can lead to poor decision-making. Instead, he argues that successful trading often arises as a byproduct of sound practices. By relating ancient concepts--such as water and risk, diversified knowledge, and historical bias--to current money markets, Amen illustrates that focusing on broader goals, employing lateral thinking, targeting risk-adjusted returns, and managing drawdowns can enhance long-term profitability. While investors may occasionally be misled by randomness, luck plays a crucial role in success. Ultimately, sustained success in capital investment is less about chance and more about a deep understanding of market dynamics. This book invites readers to rethink their trading approaches through the lens of ancient wisdom, offering a fresh perspective on achieving financial success.

Condición: New. Print on Demand pp. 224.

Condición: New. PRINT ON DEMAND pp. 224.