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Investors' Optimal Response to Stock Price Bubbles
Bok av Maximilian Wegener
Bachelor Thesis from the year 2013 in the subject Business economics - Investment and Finance, grade: 8.0, Maastricht University, language: English, abstract: According to the efficient market hypothesis there should not be an asset overvaluation. Nevertheless, bubbles appear from time to time in the real world. In a financial bubble, the price of a security deviates grossly from its fundamental intrinsic value (Watanabe, Takayasu & Takayasu, 2007). Fundamentals or fundamental value refer to economic variables such as discount rates or future cash flows (Siegel, 2003). Depending on the valuation technique one can define an asset's intrinsic or fundamental value, based on economic variables and assumed growth. A financial bubble is defined as a price run-up, where an initial price rise generates positive expectations of higher future prices, which attracts new buyers that are rather interested in reaping profits by trading the assets than using its earnings capacity (Siegel, 2003). There is a long history of bubbles such as the 1720 South Sea bubble, 1929 the Great Crash, in the mid-1970s the REIT bubble, in 1987 the housing crash, in 1991 the banking crisis, in 2002 the NASDAQ technology bubble and just recently the housing bubble in the United States, just to name a few.
This capstone assignment deals with the question of how investors should act in the case of asset overvaluation in financial markets. In particular, it tries to answer how investors should behave. The central question asks whether investors should step aside and wait until the bubble bursts, whether they should ride the bubble or trade against it. Of course, there is support for all three, albeit contradicting theories. The different trading and investment strategies are reviewed, thereby touching upon various asset bubbles, financial concepts and empirical evidence in the academia. Moreover, it is elaborated on positive feedback trading and rational speculations, as well as behavioral finance