Irrational ExuberanceIrrational ExuberanceIrrational exuberance refers to the enthusiasm or optimism exhibited by the investors without going for rational thinking, causing an exponential rise in asset prices. read more is to remain relevant forever, for it expounds on the idea of stock and bond prices and the cost of housing in the post-subprime boom. The book fundamentally shows how recent asset markets capture and inherently reflect psychologically driven volatility. Written by the Nobel prize-winning Yale economist, the book considers the gamut of human emotions that are at play in the stock market and the lives of the investors after the 2008-2009 financial crisisFinancial CrisisThe term "financial crisis" refers to a situation in which the market's key financial assets experience a sharp decline in market value over a relatively short period of time, or when leading businesses are unable to pay their enormous debt, or when financing institutions face a liquidity crunch and are unable to return money to depositors, all of which cause panic in the capital markets and among investors.read more. The book is a careful study, drawing from the research and historical evidence to conclude that the enormous stock market boom that started around 1982 and picked up incredible speed after 1995 was a speculative bubble, not grounded in sensible economic fundamentals. Shiller points out that the real estate bubble is similar to the stock market bubbleThe Stock Market BubbleA stock market bubble is a phenomenon in which the prices of a company's stock are inflated and cannot be supported by the company's actual performance, resulting in a divide between the real and financial economies caused by irrational exuberance of market participants, herd mentality, or any other similar reason.read more and warns that significant (further) rises in these markets could lead, eventually, to even more significant declines. Shiller has proven he is correct, and we know this fact well.
The Intelligent Trader: Proven Techniques For Winning In The Stock Marketl
The contributions of this work is that it is the first to provide exploration of how a DDQN predicts the stock market, using feature map visualizations. This work also substantiates that artificial intelligent techniques, namely an RL system utilizing a DDQN, can be used to outperform the S&P 500 Index. It makes direct comparisons of the DDQN returns to financial market returns, where previous works have not. 2ff7e9595c
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