Shuyi li (26 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condición: new. Paperback. What if reaching your goals felt as easy as checking a box?Habit Is All You Need gives you the Micro-Output Method-a 5-minute, science-backed system created by a computer-science researcher who debugs human behavior like code. In plain words and punchy examples, you'll learn how to: Stick to any habit-fitness, money, learning-without willpower.Turn tiny actions into visible wins that fire up your brain's reward system.Scale from micro to massive results in weeks, not years.Grab the blueprint that readers call "so simple it finally clicked." Start your first micro-habit today and watch everything change. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

hardcover. Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Hardback. Condición: New. Empirical Finance: Theory and Application offers a modern, data-driven introduction to the field of finance, tailored for undergraduate students and practitioners seeking to bridge theory with real-world evidence. In an era defined by abundant data and computational power, this book emphasizes hands-on learning by integrating financial theory, empirical analysis, and practical implementation using Python and R. Each chapter balances intuitive explanations with mathematical rigor, ensuring that readers not only understand key concepts but also learn how to test them with actual data.Structured in two parts, the book begins with a thorough review of essential quantitative tools-optimization, probability, and statistics-providing the foundation needed for empirical work. The second part applies these tools to core topics in finance, including asset pricing, portfolio choice, market efficiency, event studies, and volatility modeling. Real-world examples and case studies-such as testing the Efficient Markets Hypothesis, analyzing stock splits, and evaluating the equity premium-bring the material to life and illustrate how empirical methods can validate or challenge economic intuition.A distinctive feature of this text is its emphasis on reproducibility and application. Code snippets, exercises, and datasets enable readers to replicate results and develop their own analyses. Topics like time-series properties of returns, portfolio management and behavioral finance are treated with both theoretical and empirical depth, preparing students for quantitative internships, graduate studies, or roles in the financial industry.Ideal for courses in Empirical Finance, Financial Econometrics, or Quantitative Finance, this book stands out for its clear exposition, relevance to contemporary practice, and commitment to evidence-based reasoning. It empowers a new generation of finance students to think critically, work with data, and understand markets not as a set of abstract rules, but as a dynamic interplay of economics, data, and technology.Key Features:· Seamlessly integrates hands-on coding in both Python and R with financial theory, enabling readers to replicate results and conduct their own empirical analysis.· Strikes a unique balance between financial intuition, mathematical clarity, and real-world application, avoiding the common extremes of abstract theory or mere data manipulation.· Structured in two distinct parts-first building essential quantitative tools (optimization, probability, statistics) before applying them to core finance topics-ensuring a solid foundation for empirical work.· Uses contemporary, relevant examples throughout, such as testing market anomalies, analyzing cryptocurrency returns, and conducting event studies on recent scandals.· Emphasizes a data-centric approach to validate or challenge economic reasoning, teaching students to treat finance as a dynamic, evidence-based discipline. …

Condición: New.

Condición: New.

Hardback. Condición: New. Empirical Finance: Theory and Application offers a modern, data-driven introduction to the field of finance, tailored for undergraduate students and practitioners seeking to bridge theory with real-world evidence. In an era defined by abundant data and computational power, this book emphasizes hands-on learning by integrating financial theory, empirical analysis, and practical implementation using Python and R. Each chapter balances intuitive explanations with mathematical rigor, ensuring that readers not only understand key concepts but also learn how to test them with actual data.Structured in two parts, the book begins with a thorough review of essential quantitative tools-optimization, probability, and statistics-providing the foundation needed for empirical work. The second part applies these tools to core topics in finance, including asset pricing, portfolio choice, market efficiency, event studies, and volatility modeling. Real-world examples and case studies-such as testing the Efficient Markets Hypothesis, analyzing stock splits, and evaluating the equity premium-bring the material to life and illustrate how empirical methods can validate or challenge economic intuition.A distinctive feature of this text is its emphasis on reproducibility and application. Code snippets, exercises, and datasets enable readers to replicate results and develop their own analyses. Topics like time-series properties of returns, portfolio management and behavioral finance are treated with both theoretical and empirical depth, preparing students for quantitative internships, graduate studies, or roles in the financial industry.Ideal for courses in Empirical Finance, Financial Econometrics, or Quantitative Finance, this book stands out for its clear exposition, relevance to contemporary practice, and commitment to evidence-based reasoning. It empowers a new generation of finance students to think critically, work with data, and understand markets not as a set of abstract rules, but as a dynamic interplay of economics, data, and technology.Key Features:· Seamlessly integrates hands-on coding in both Python and R with financial theory, enabling readers to replicate results and conduct their own empirical analysis.· Strikes a unique balance between financial intuition, mathematical clarity, and real-world application, avoiding the common extremes of abstract theory or mere data manipulation.· Structured in two distinct parts-first building essential quantitative tools (optimization, probability, statistics) before applying them to core finance topics-ensuring a solid foundation for empirical work.· Uses contemporary, relevant examples throughout, such as testing market anomalies, analyzing cryptocurrency returns, and conducting event studies on recent scandals.· Emphasizes a data-centric approach to validate or challenge economic reasoning, teaching students to treat finance as a dynamic, evidence-based discipline. …

Condición: New.

Condición: New. Oliver Linton is the Professor of Political Economy at the University of Cambridge and a Fellow of Trinity College. A leading econometrician and financial economist, his extensive research focuses on nonparametric estimation, time series analysis..

Hardback. Condición: New. Empirical Finance: Theory and Application offers a modern, data-driven introduction to the field of finance, tailored for undergraduate students and practitioners seeking to bridge theory with real-world evidence. In an era defined by abundant data and computational power, this book emphasizes hands-on learning by integrating financial theory, empirical analysis, and practical implementation using Python and R. Each chapter balances intuitive explanations with mathematical rigor, ensuring that readers not only understand key concepts but also learn how to test them with actual data.Structured in two parts, the book begins with a thorough review of essential quantitative tools-optimization, probability, and statistics-providing the foundation needed for empirical work. The second part applies these tools to core topics in finance, including asset pricing, portfolio choice, market efficiency, event studies, and volatility modeling. Real-world examples and case studies-such as testing the Efficient Markets Hypothesis, analyzing stock splits, and evaluating the equity premium-bring the material to life and illustrate how empirical methods can validate or challenge economic intuition.A distinctive feature of this text is its emphasis on reproducibility and application. Code snippets, exercises, and datasets enable readers to replicate results and develop their own analyses. Topics like time-series properties of returns, portfolio management and behavioral finance are treated with both theoretical and empirical depth, preparing students for quantitative internships, graduate studies, or roles in the financial industry.Ideal for courses in Empirical Finance, Financial Econometrics, or Quantitative Finance, this book stands out for its clear exposition, relevance to contemporary practice, and commitment to evidence-based reasoning. It empowers a new generation of finance students to think critically, work with data, and understand markets not as a set of abstract rules, but as a dynamic interplay of economics, data, and technology.Key Features:· Seamlessly integrates hands-on coding in both Python and R with financial theory, enabling readers to replicate results and conduct their own empirical analysis.· Strikes a unique balance between financial intuition, mathematical clarity, and real-world application, avoiding the common extremes of abstract theory or mere data manipulation.· Structured in two distinct parts-first building essential quantitative tools (optimization, probability, statistics) before applying them to core finance topics-ensuring a solid foundation for empirical work.· Uses contemporary, relevant examples throughout, such as testing market anomalies, analyzing cryptocurrency returns, and conducting event studies on recent scandals.· Emphasizes a data-centric approach to validate or challenge economic reasoning, teaching students to treat finance as a dynamic, evidence-based discipline. …

Hardcover. Condición: Brand New. 268 pages. 9.18x6.12x9.45 inches. In Stock.

Hardback. Condición: New. Empirical Finance: Theory and Application offers a modern, data-driven introduction to the field of finance, tailored for undergraduate students and practitioners seeking to bridge theory with real-world evidence. In an era defined by abundant data and computational power, this book emphasizes hands-on learning by integrating financial theory, empirical analysis, and practical implementation using Python and R. Each chapter balances intuitive explanations with mathematical rigor, ensuring that readers not only understand key concepts but also learn how to test them with actual data.Structured in two parts, the book begins with a thorough review of essential quantitative tools-optimization, probability, and statistics-providing the foundation needed for empirical work. The second part applies these tools to core topics in finance, including asset pricing, portfolio choice, market efficiency, event studies, and volatility modeling. Real-world examples and case studies-such as testing the Efficient Markets Hypothesis, analyzing stock splits, and evaluating the equity premium-bring the material to life and illustrate how empirical methods can validate or challenge economic intuition.A distinctive feature of this text is its emphasis on reproducibility and application. Code snippets, exercises, and datasets enable readers to replicate results and develop their own analyses. Topics like time-series properties of returns, portfolio management and behavioral finance are treated with both theoretical and empirical depth, preparing students for quantitative internships, graduate studies, or roles in the financial industry.Ideal for courses in Empirical Finance, Financial Econometrics, or Quantitative Finance, this book stands out for its clear exposition, relevance to contemporary practice, and commitment to evidence-based reasoning. It empowers a new generation of finance students to think critically, work with data, and understand markets not as a set of abstract rules, but as a dynamic interplay of economics, data, and technology.Key Features:· Seamlessly integrates hands-on coding in both Python and R with financial theory, enabling readers to replicate results and conduct their own empirical analysis.· Strikes a unique balance between financial intuition, mathematical clarity, and real-world application, avoiding the common extremes of abstract theory or mere data manipulation.· Structured in two distinct parts-first building essential quantitative tools (optimization, probability, statistics) before applying them to core finance topics-ensuring a solid foundation for empirical work.· Uses contemporary, relevant examples throughout, such as testing market anomalies, analyzing cryptocurrency returns, and conducting event studies on recent scandals.· Emphasizes a data-centric approach to validate or challenge economic reasoning, teaching students to treat finance as a dynamic, evidence-based discipline. …

Condición: New.

Paperback. Condición: new. Paperback. What if reaching your goals felt as easy as checking a box?Habit Is All You Need gives you the Micro-Output Method-a 5-minute, science-backed system created by a computer-science researcher who debugs human behavior like code. In plain words and punchy examples, you'll learn how to: Stick to any habit-fitness, money, learning-without willpower.Turn tiny actions into visible wins that fire up your brain's reward system.Scale from micro to massive results in weeks, not years.Grab the blueprint that readers call "so simple it finally clicked." Start your first micro-habit today and watch everything change. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Leatherbound. Condición: NEW. BOOKS ARE EXEMPT FROM IMPORT DUTIES AND TARIFFS; NO EXTRA CHARGES APPLY. Leatherbound edition. Condition: New. Leather Binding on Spine and Corners with Golden leaf printing on spine. Bound in genuine leather with Satin ribbon page markers and Spine with raised gilt bands. Pages: 508. A perfect gift for your loved ones. Reprinted from 1833 edition. NO changes have been made to the original text. This is NOT a retyped or an ocr'd reprint. Illustrations, Index, if any, are included in black and white. Each page is checked manually before printing. As this print on demand book is reprinted from a very old book, there could be some missing or flawed pages, but we always try to make the book as complete as possible. Fold-outs, if any, are not part of the book. If the original book was published in multiple volumes then this reprint is of only one volume, not the whole set. IF YOU WISH TO ORDER PARTICULAR VOLUME OR ALL THE VOLUMES YOU CAN CONTACT US. Resized as per current standards. Sewing binding for longer life, where the book block is actually sewn (smythe sewn/section sewn) with thread before binding which results in a more durable type of binding. Volume 1-2 Language: CHI Pages: 508 Volume 1-2.…

Hardcover. Condición: Brand New. 268 pages. 9.18x6.12x9.45 inches. In Stock. This item is printed on demand.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Leather Bound. Condición: New. Language: Chinese. Language: Chinese. Presenting an Exquisite Leather-Bound Edition, expertly crafted with Original Natural Leather that gracefully adorns the spine and corners. The allure continues with Golden Leaf Printing that adds a touch of elegance, while Hand Embossing on the rounded spine lends an artistic flair. This masterpiece has been meticulously reprinted in 2018, utilizing the invaluable guidance of the original edition published many years ago in 1833. The contents of this book are presented in classic black and white. Its durability is ensured through a meticulous sewing binding technique, enhancing its longevity. Imprinted on top-tier quality paper. A team of professionals has expertly processed each page, delicately preserving its content without alteration. Due to the vintage nature of these books, every page has been manually restored for legibility. However, in certain instances, occasional blurriness, missing segments, or faint black spots might persist. We sincerely hope for your understanding of the challenges we faced with these books. Recognizing their significance for readers seeking insight into our historical treasure, we've diligently restored and reissued them. Our intention is to offer this valuable resource once again. We eagerly await your feedback, hoping that you'll find it appealing and will generously share your thoughts and recommendations. Lang: - Chinese, Vol:- Volume v.1-2, Pages:- 508, Print on Demand. If it is a multi-volume set, then it is only a single volume. We are specialised in Customisation of books, if you wish to opt different color leather binding, you may contact us. This service is chargeable. Product Disclaimer: Kindly be informed that, owing to the inherent nature of leather as a natural material, minor discolorations or textural variations may be perceptible. Explore the FOLIO EDITION (12x19 Inches): Available Upon Request. Volume v.1-2 508 508.…