Author: Chiu Yu Ko Publisher: Chiu Yu Ko ISBN: Category : Business & Economics Languages : en Pages : 194
Book Description
We cover two main parts in this textbook: how to model price movement and trading process. Prices are studied under fundamental analysis (Chapter 1), technical analysis (Chapter 2), time series analysis (Chapter 3) and factor pricing model (Chapter 4). For application, we consider event study and difference-and-difference estimation to examine various maker anomalies (Chapter 5). For trading process, we first study how to characterize the outcome (Chapter 6). Then we study Roll model that shows how trading cost affects price movement (Chapter 7). Using inventory model, we show that the imbalance of buy and sell orders as a source of bid-ask spread (Chapter 8). By sequential trade model, we demonstrate how information asymmetry leads to bid ask spread and how trade impacts the price moving process as the market learns the underlying state of the world (Chapter 9). Then, we study how strategic behaviour of informed traders changes the trading outcomes in a strategic trade model (Chapter 11). Finally, we examine how behavioural model can be used to explain short-run momentum and long-run reversal of price (Chapter 12).
Author: Robert T. McGee Publisher: Springer ISBN: 113740180X Category : Business & Economics Languages : en Pages : 265
Book Description
The absolute and relative performance of various asset classes is systematically related to macroeconomic trends. In this new book, Robert McGee provides a thorough guide to each stage of the business cycle and analyzes the investment implications using real-world examples linking economic dynamics to investment results.
Author: Moinak Maiti Publisher: Springer Nature ISBN: 9811640637 Category : Business & Economics Languages : en Pages : 287
Book Description
This textbook gives students an approachable, down to earth resource for the study of financial econometrics. While the subject can be intimidating, primarily due to the mathematics and modelling involved, it is rewarding for students of finance and can be taught and learned in a straightforward way. This book, going from basics to high level concepts, offers knowledge of econometrics that is intended to be used with confidence in the real world. This book will be beneficial for both students and tutors who are associated with econometrics subjects at any level.
Author: Stephen F. LeRoy Publisher: Cambridge University Press ISBN: 131606087X Category : Business & Economics Languages : en Pages : 371
Book Description
This second edition provides a rigorous yet accessible graduate-level introduction to financial economics. Since students often find the link between financial economics and equilibrium theory hard to grasp, less attention is given to purely financial topics, such as valuation of derivatives, and more emphasis is placed on making the connection with equilibrium theory explicit and clear. This book also provides a detailed study of two-date models because almost all of the key ideas in financial economics can be developed in the two-date setting. Substantial discussions and examples are included to make the ideas readily understandable. Several chapters in this new edition have been reordered and revised to deal with portfolio restrictions sequentially and more clearly, and an extended discussion on portfolio choice and optimal allocation of risk is available. The most important additions are new chapters on infinite-time security markets, exploring, among other topics, the possibility of price bubbles.
Author: Chiu Yu Ko Publisher: Chiu Yu Ko ISBN: Category : Languages : en Pages : 267
Book Description
This book is about programming for trading in financial market. We cover Excel (Part 1), Excel VBA (Part 2) and R (Part3) are covered. We first cover Excel that requires minimum programming technique, it is desirable to start learning it first. Then Excel VBA is covered to provide a smooth transition to more complicated R programming. In particular, students first learn how to use Excel to generate a simple trading system and this builds the foundation for the more complicated trading system in R. Excel VBA is commonly used for computationally less demanding calculations in both academic and business world. Students are prepared to how to use them to do various financial analysis including fundamental analysis, technical analysis and time series analysis. In particular, students will learn how to write an analyst report, and create computer-aided technical trading system. R is widely used in computationally heavy financial and statistical computation. Students are prepared how to do data manipulation, conduct econometric analysis (regression, time series), plotting package, webscrapping, and financial analysis. In particular, students will learn how to backtest complex trading strategy and evaluate the performance.
Author: Chiu Yu Ko
Author: Robert T. McGee
Author: 
Author: Sumeet Gupta
Author: Moinak Maiti
Author: Stephen F. LeRoy
Author: Chiu Yu Ko
Author: Sharath Sury
Author: Samuel Sarri
Author: Samuel Sarri