We have a new video featuring three examples of how to built new strategies on top of ideas from Quantpedia’s database. We hope you will like it …
We have prepared several new announcements, but first, let us recapitulate last month of Quantpedia’s research. Nine new Quantpedia Premium strategies have been added into our database, and eleven new related research papers have been included in existing Premium strategies during last month.
Additionally, we have produced 12 new backtests written in QuantConnect code. Our database currently contains over 350 strategies with out-of-sample backtests/codes.
Also, five new blog posts, that you may find interesting, have been published on our Quantpedia blog:
Bitcoin is quite a controversial topic among the public. Many are interested in the blockchain technology or trade the cryptocurrencies , but the Bitcoin also has many opponents. Most frequently, Bitcoin is criticized for its volatility or a lack of supervision; some even call the Bitcoin a fraud. Yet many argue that blockchain is transparent. Novel research by Peterson examines the price manipulation using Benford’s law and a linkage to the anecdotal evidence of known manipulation. In theory, the distribution of leading digits in numerical data should follow the Benford´s law and any significant deviations usually signal a fraud. According to the results, in the history of bitcoin prices, several frauds were detected. The results have important implication for the Bitcoin; therefore, this research is probably a must-read for anyone interested in cryptocurrencies.
Authors: Timothy Peterson
Title: To the Moon: A History of Bitcoin Price Manipulation
Stock prices react to the new information that investors continually receive from many sources. There are some major events, which are commonly connected with a new piece of information and subsequent reactions of investors. For example, quarterly earnings-announcements are the cause of the post-earnings announcement drift or PEAD. According to the PEAD, prices tend to continue to drift up (down) after positive (negative) news. But news related to quarterly announcements is not the only important information. A novel research paper written by the Hong and Yu explores implications of the month-end reporting, analyst revisions and management guidance that are coming to market usually in the first half of each month and are also connected with drifts that offer practitioners profitable opportunities.
Authors: Claire Yurong Hong and Jialin Yu
Title: Month-End Reporting, Cash-Flow News, and Asset Pricing
Equity factors are not as straightforward as they may seem to be. There is an ongoing debate about their usability or expected return since they have a cyclical nature. Moreover, the modern trend of smart beta only fuels this debate. Novel research by Blitz and Hanauer examines the size factor and sheds some light on this elusive anomaly. The size seems to be weak as a stand-alone factor, but it’s far from useless. The academic paper suggests that the size factor can be an important addition to the other equity factors as it helps to unlock the full potential of the quality, value or momentum factors.
Authors: Blitz, David and Hanauer, Matthias Xaver
Title: Settling the Size Matter
The usage of alternative data is now a main-stream topic in investment management and algorithmic trading. So let’s together explore the textual analysis of 10-K & 10-Q filings and analyze how these datasets could be used as a profitable part of investment portfolios. We invite you to read this short summarization of the research. Full version can be found on the SSRN.
