Browsing: machine learning

Posts Tagged ‘ machine learning ’

Start Your Algorithms: Speed is Good Again, or is it?

Dec 30th, 2019 | Filed under: Newly Added, Technology, Fintech, Artificial Intelligence, Algorithmic and high-frequency trading, Hedge Fund Strategies, The A.I. Industry, Alpha Strategies, Hedge Funds, Business News

Until the final days of 2019, it has been a quiet year for high-frequency trading-related news. The whole concept of a trade executed in nanoseconds, and the related concept of a trading program managed with only sporadic human intervention or oversight, have all faded into background assumptions. What remains isRead More

Machine Learning: Beyond the Fear of Unknown Unknowns

Nov 17th, 2019 | Filed under: Newly Added, Technology, Artificial Intelligence, Algorithmic and high-frequency trading, The A.I. Industry, Equity Hedge Funds, Alpha Strategies, Hedge Funds, Event-Driven Hedge Funds, Business News, Macro and Managed Futures Funds, Other Topics in A.I.

Machine learning as a way of managing a portfolio is a “wave of the future” with a lot of sea to cover before it breaks on the shore. Meson Capital Partners has sent its investors an update and summary for 2019 Q3 regarding its managed market neutral fund, and thisRead More

Are Data Scientists the ‘New’ Rockstars?

Mar 21st, 2019 | Filed under: Newly Added, Alternative data, The A.I. Industry, Technology, Operations, Risk Management & Operations

Daniel Hill, a research analyst for the global equity team at William Blair, has written an insightful piece about the hot competition for data scientists underway in the alpha-seeking world today.  Hill begins with the observation that there are lots of different buzzwords, hashtag-worthy words and phrases, at use inRead More

The Efficiency of the Markets in Crypto-Currencies

Jun 28th, 2018 | Filed under: Newly Added, Currencies, Financial Economics Theory, Emerging Alternative Investments, The Global Economy & Currencies, Digital currencies, Finance & Economics

Three scholars affiliated with Johns Hopkins have evaluated cryptocurrency investing, in a new paper available at SSRN, and have concluded that “near-term cryptocurrency markets are semi-strong form efficient.” That bit of finance theorist jargon means that all publicly available information gets discounted quickly into an asset’s price, so that neitherRead More

The Quants, the Algorithms, and the Performance

Mar 18th, 2018 | Filed under: Newly Added, Alpha & Beta, Benchmarking & Performance Attribution, Hedge Funds, Allocating to A.I.

A new paper by J.B. Heaton, forthcoming in the Journal of Financial Transformation, offers a skeptical view of the algorithmic trading of securities, its actuality and its potential. Heaton is a lawyer (admitted to the bars of both Illinois and New York) and has a Ph.D. in finance, University ofRead More

Deloitte on the 2018 Outlook for Managers

Dec 29th, 2017 | Filed under: Newly Added, Hedge Fund Industry Trends, The A.I. Industry, Structure of the Hedge Funds Industry

A new Deloitte report on the year ahead says that 2018, globally, “could be the year that records the highest average [mergers and acquisitions] deal value” for the investment manager sector. Also, this will be a big year for artificial intelligence and machine-learning algorithms; Deloitte predicts that 70% of newRead More

Artificial Intelligence and Productivity: NBER Takes a Look

Nov 21st, 2017 | Filed under: Newly Added, The Global Economy & Currencies, Business News, Macroeconomics, Finance & Economics

A new working paper from the National Bureau of Economic Research, in Cambridge, Mass., discusses what its authors see as a paradox: although artificial intelligence has made astonishing advances in the last 20 years, taking along with it related technologies and stock prices, real income has stagnated, and productivity seemsRead More