What makes Socrates unique is that I had to
TEACH it how I would analyze. It is not as simple as throwing in all the data and hoping something will create itself, as in neural nets. You can do that with a simple problem like creating an AI program to determine if making a loan will have a higher probability of default or not. You feed in all the past history and sort according to income, purpose, etc. That will work most of the time. However, what happens if there is an economic shock such as shutting down businesses due to COVID? Or perhaps a war emerges. No program created in such a manner will ever be able to forecast those external factors.
What makes Socrates unique is that I had to
TEACH it how I would analyze. It is not as simple as throwing in all the data and hoping something will create itself, as in neural nets. You can do that with a simple problem like creating an AI program to determine if making a loan will have a higher probability of default or not. You feed in all the past history and sort according to income, purpose, etc. That will work most of the time. However, what happens if there is an economic shock such as shutting down businesses due to COVID? Or perhaps a war emerges. No program created in such a manner will ever be able to forecast those external factors.
Investment Week is hosting its Global Emerging Markets Briefing at a pivotal time for investors as they start to position for the recovery from the Covid-19 pandemic, although risks remain.
During this interactive briefing, we will hear from a number of global emerging market managers about their response to the extraordinary events of the past year and their outlook for the rest of the year and beyond.
The managers will identify where they are seeing the biggest opportunities and risks at the moment in emerging markets and explain the role their strategies could play in client portfolios.
Attendees will also get the chance to network with peers, quiz our speakers, as well as benefit from CPD points
Wall Street’s Changing Culture
When Genius Failed is likely to be a classical primary authority.
Lowenstein is a deeply professional writer, who reduces the arcane complexities of derivative dealings to lucid prose, and focuses on the crucial components in a confusing complex story. He brings the icy precision of the battlefield surgeon to the deafening chaos of Wall Street conflict. His chilling assessments of such phenomena as the appalling Larry Hilibrand, perhaps the key force at LTCM, a strangely-diminished Alan Greenspan, and the sinister force of Goldman Sachs, are likely to prove definitive.
As a member of the Frank Veneroso/Le Métropole Café circle, and consequently feeling in possession of some first-hand knowledge of the LTCM smash, I found this book stimulating and informative. So also would others with professional involvement. This is not a book to be ignored.
This is the bread-and-butter for quant funds. AQR has pioneered this space the most.
Multifactor models are models designed to extract cross-sectional risk premia in markets. Put simply you look at all the stocks in a market. Rank them based on some metric(s). Long the top decile. Short the bottom decile. If that market-neutral portfolio outperforms on a consistent basis then well done! You have found a risk premium.
Classical and well known risk premia include:
Momentum – stocks that moon continue to moon.
Size – small caps tend to outperform large caps.
Value – high-value stocks tend to outperform low-value stocks.