I still say to myself when I am depressed and find myself forced to listen to pompous and tiresome people: “Well, I have done one thing you could never have done, and that is to have collaborated with Littlewood and Ramanujan on something like equal terms.”
A Mathematician’s Apology (1941). G.H. Hardy (1877-1947)
Mathematics as the great equalizer
What do many of the most successful (and richest) hedge fund managers have in common with a life-long homeless person? That they have worked together, on equal terms, in solving some of the hardest mathematical questions.
Yes, in a stratified world
Continue reading Erdős Numbers: A True “Prince and the Pauper” story
One of us (Marcos Lopez de Prado) has published the article Mathematics and economics: A reality check in the Journal of Portfolio Management. The article is open-access — there is no fee for viewing or downloading.
Lopez de Prado argues that while economics is arguably one the most mathematical of the social sciences, the mathematical methods of economists may not be up to the task of modeling the complexity of the social institutions and the business/finance world. Outdated and inappropriate statistical methods are of particular concern, with economists and econometricians often drawing very dubious conclusions from the available data.
Continue reading Mathematics and economics: A reality check
In a previous Math Investor blog, we described the emerging world of blockchain, emphasizing how it might impact the financial services and investment world. Already numerous firms, including several startup organizations, are pursuing blockchain to facilitate and streamline many types of financial transactions.
It is worth taking a brief look at the mathematics behind blockchain. The following is based in part on an article by Eric Rykwalder, one of the founders of Chain.com, a startup blockchain software firm in San Francisco.
The elliptic curve digital signature algorithm
Blockchain is basically a publicly available ledger where participants enter data and
Continue reading The mathematics behind blockchain
Many people have heard of Bitcoin, a shadowy form of currency that operates outside normal banking channels. It was introduced in October 2008 by a computer scientist under the alias Satoshi Nakamoto, and later released in the form of open-source software in 2009. Over 100,000 merchants now accept Bitcoin for products and services; the total value of circulating Bitcoins is currently about 10 billion U.S. dollars. In May 2016, Craig Steven Wright, an Australian computer scientist, publicly confessed to being Satoshi Nakamoto, although some skeptics still dispute his claim.
Blockchain: the technology behind Bitcoin
A even more interesting development
Continue reading Is blockchain technology about to upend the financial world?
Over USD$2 trillion is held in exchange-traded equity funds, just in the U.S., with hundreds of new funds added each year. Strategies vary from simple index-tracking funds to funds that follow sophisticated strategies (e.g., “smart beta”) designed to yield impressive results, based on backtests. According to a Vanguard report, there is concern that many of these funds are not really independent of the indexes they follow, and in any event are not that different from the broad market.
So how hard is it to design a stock fund that will achieve a given performance profile? The present bloggers
Continue reading How difficult is it to design a stock fund based on backtests?
The Mathematical Investor was recently named one of the Top 100 Math Blogs for students and teachers of mathematics, by Feedspot. The full list of the top 100 math blogs can be found HERE. We were awarded this “badge”:
Mark Hulbert has compiled an interesting list of recent market panics:
August 2015: Concerns about the Chinese economy and stock market led to panic selling, with the Shanghai index plunging 8.5% in one day. Soon after in the U.S., on August 24, 2015, the DJIA plunged over 1,000 points in just a few minutes, its most precipitous drop ever, ending the day down 588 points, its worst one-day loss in five years. January 2016: Concerns about the direction of the U.S. economy, and fears that the U.S. stock market was overheated led to a 5.5% drop during January, with the
Continue reading The folly of panic selling
Would you believe someone who claims knowledge of how to transform lead into gold, and yet he is not rich? Enter the perplexing world of financial academia, the modern-day “alchemists”
According to the just-published 2016 Rich List of the World’s Top-Earning Hedge Fund Managers by Institutional Investor’s Alpha magazine, eight of the top ten earners fall into the “quant” category, and half of the 25 richest of the year are quants. The firms listed include the likes of Renaissance Technologies, D.E. Shaw, Two Sigma, Millennium, Citadel and Schonfeld, none of which engage in “smart beta” or factor-based investments.
Continue reading Where are the billionaire financial academics?
The past few years have not been kind to hedge funds, namely those specialized funds, usually marketed to large institutions and wealthy individuals, which combine a somewhat more risky overall strategy managed by highly professional traders, with a relatively safer “hedge” to limit volatility. (Our comments here refer specifically to investment hedge funds, as opposed to, for example, an airline hedging future fuel prices or an international corporation hedging future currency rates.) Worldwide, hedge funds currently manage USD$2.86 trillion in assets, down from USD$3.2 trillion in September 2015.
Hedge funds typically charge a management fee of 2 percent plus a
Continue reading Tough times for hedge funds
A recent Bloomberg article reported on the work of Junsuke Senoguchi, who has developed a “robot” artificial intelligence-powered computer program that forecasts the Japanese stock market, in particular the Nikkei-225 index.
Senoguchi, who currently works for Mitsubishi UFJ Morgan Stanley Securities in Tokyo and who has previously worked for Lehman Brothers and also the Bank of Japan, has a Ph.D. in artificial intelligence (AI), and his new investment program employs AI techniques. Senoguchi is delighted when it is working well, “because I feel I can predict the future“.
While we certainly wish Mr. Senoguchi well in his efforts, we need
Continue reading How well does a “robot AI” predict the Japanese stock market?