The authors had previously valued the stock of Tesla in 2014 at about $100 using overly liberal projections; the price of Tesla subsequently went up to over $250. This article suggests that Tesla's stock is overpriced according to fundamentals and DCF calculations, and the speeches and promotions by Musk are propping up the stock price, due to long-term prospects over short-term results. But when a negative event regarding the company soon causes a cascade in the stock price, it will appear like a short-term reaction, but it's actually a Bayesian update that has been a long time coming.
CORNELL, B. (2016, Fall2016). The Tesla Run-Up: A Follow-Up with Investment Implications. Journal of Portfolio Management. pp. 1-4.
Showing posts with label Subject: Sentiment. Show all posts
Showing posts with label Subject: Sentiment. Show all posts
Tuesday, August 14, 2018
Friday, August 10, 2018
Volatility Wisdom of Social Media Crowds
"Information contained in the volatility sentiment extracted from broader social media data sources can be used to create profitable investment strategies for stock market volatility ... A large database of tweets contains useful information about future stock market volatility. [Social Anomaly Score strategies] are able to outperform a benchmark by harnessing the volatility wisdom of social media crowds."
KARAGOZOGLU, A. K., & FABOZZI, F. J. (2017). Volatility Wisdom of Social Media Crowds. Journal Of Portfolio Management, 43(2), 136-151.
KARAGOZOGLU, A. K., & FABOZZI, F. J. (2017). Volatility Wisdom of Social Media Crowds. Journal Of Portfolio Management, 43(2), 136-151.
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