Also: Institutional investors seek safety in recession (counter-cyclical) stocks, including real estate, oil, gas, and low-budget furniture and appliance rental companies. By Irene Aldridge May 6, 2022 According to Garthwaite et al. (2005), a good model accurately captures the distribution of the investors’ knowledge and beliefs, regardless of how good that knowledge actually is. Thus, if selected institutional investors believe that the markets are about to go up and reflect that belief in their trades, but the markets end up going down, the knowledge and belief elicitation model still works perfectly as it accurately captures the investors’ beliefs. Of course, institutional investors, by the sheer
By Irene Aldridge Once you add Neural Networks to your existing analytical toolset, you can benefit from detecting patterns in data that cannot be captured otherwise. This article shows, with IBM as an example, how using Neural Networks unlocks statistical insight, you could not have achieved without it. Technical analysis is a discipline that has managed to survive it all over more than 100 years. Starting from the 1920s, and possibly even earlier, technical analysts persevered at distilling meaning from patterns in the data. Numerous generations of quants declared technical analysis to be dead, only to resurrect it in various Auto-Regressive Moving Average (ARMA) specifications.
Irene Aldridge, a co-author of the forthcoming book “Big Data Science in Finance” has launched her very own YouTube channel where she discusses her latest research in the areas of Big Data, Artificial Intelligence and Finance. Please subscribe here to receive updates: https://studio.youtube.com/channel/UCMYuhgyMhzkw5tBIyEa2p3g Aldridge has a seasoned portfolio of TV appearances, including CNBC, CNN, and even Comedy Central. Aldridge is looking to make her research more accessible through video clips and offerings. Please share with your colleagues and friends!