Optimistic and pessimistic forecasters
Many investors, individual as well as institutional, rely on market experts and forecasters when making investment decisions. Needless to say, some of these forecasts tend to be more accurate than others. How can one decide which of these forecasts, if any, to take seriously?
Some of these forecasts are optimistic. For example, on 3 January 2015 Thomas Lee predicted that the S&P 500 index would be at 2325 one year hence. (The S&P 500 ranged between 1867 and 2122 during this period, closing at 2012 on 4 January 2016, well short of the goal.)
Continue reading How accurate are market forecasters?
Warren Buffett, the Chairman of Berkshire Hathaway since 1970, sometimes called the “oracle of Omaha,” is arguably the world’s most successful stock-picking investor. Under his leadership Berkshire Hathaway has grown to a financial powerhouse, with total market capitalization of approximately USD$420 billion. Buffett has certainly shared in this success — as of this writing (27 February 2017), Buffett’s net worth was USD$76.5 billion, making him the second wealthiest person in the world.
So what advice does Buffett have for the rest of us mere mortals, individual investors as well as institutional investors?
His answer is quite arresting: Invest mainly in
Continue reading Investment advice from the world’s most successful stock picker
In the past few years “smart beta” (also known as “alternative beta” or “strategic beta”) investments have grown rapidly in popularity. As of the current date (January 2017), assets in these investment categories have grown to over USD$500 billion, and are expected to reach USD$1 trillion by 2020. More than 844 exchange-traded funds employing a smart beta strategy are now in operation.
The basic idea behind smart beta is to observe that traditional capitalization-weighted investments (such as S&P 500 index funds) tend to be heavily weighted in favor of securities from large, stable firms. Thus the smart beta community
Continue reading Backtest overfitting in smart beta investments
The past few years have been rough on hedge funds. Some have done very well, such as the Medallion Fund, a highly mathematical quant fund operated by Renaissance Technologies. It has produced returns averaging over 30% since its founding in 1988, totaling approximately $55 billion in profits, making multimillionaires of many of its very fortunate investors, who for the most part are professional mathematicians and others employed by Renaissance.
For most other hedge funds, it has been a different story, namely year after year of subpar performance. For example, the HFRI Equity Hedge (Total) Index of U.S. equity
Continue reading How much of hedge fund profits are taken by management?
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”: