Trading Algorithms
About this Course
This course covers two of the seven trading strategies that work in emerging markets. The seven include strategies based on momentum, momentum crashes, price reversal, persistence of earnings, quality of earnings, underlying business growth, behavioral biases and textual analysis of business reports about the company. In the first part of the course, you will learn how to read an academic paper. What parts to pay attention to and what parts to skim through will be discussed here. For every strategy, first you will be introduced to the original research and then how to implement the strategy. The first strategy, Piotroski F -score will be discussed in detail. You will be taught how to calculate the F - Score and how to use this score in a strategy. This is followed by the next strategy, Post earnings announcement drift (PEAD).Created by: Indian School of Business
Related Online Courses
This course will serve as a \"deep dive\" into the concepts and trends related to diversity and inclusion. One of the barriers to sustained organizational effectiveness in this area has been... more
Today, we are faced with the increasing challenges of dealing with more aggressive and persistent threat actors, while being inundated with information, which is full of misinformation and false... more
Data engineering processes have undergone an amazing transformation since the advent of Generative AI. In this course, you will explore the impact of generative AI on data engineering. You as a... more
The digital advertising landscape is complex. There are many different types of ads, including: display, video, audio, sponsored, native, social media and search. Consumer data and the ad tech that... more
In this course, you will learn best practices for selecting, recruiting, and onboarding talent. You will also learn about the key approaches to measuring performance and evaluating your employees.... more
Powered by
