Empirical study of Volatility and Momentum is studied on stock Markets in a recent study by Lo, Lin and Chen (2014). This study was done based on the Taiwan market. Jegadeesh and Titman (1993) have studied NYSE and American Stock Exchange and again Chan, Jagdeesh and Lakonisho (1996) have found that price momentum strategies of buying winners and selling the losers have earned the excess returns compared to normal long term portfolios.
Liang and Wei (2014) studied the volatility and stock returns around the world and they found out that in Spain, UK and US local volatility risk is a systematic risk factor for individual stocks. This is also true for global markets. The second finding in their study was that global volatility factor reduces
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In emerging markets higher sample average returns, low correlations with developed market returns, more predictable returns and higher volatility have been seen. Bekart and Harvey (1997) found in their study that the volatility is different across emerging markets particularly with respect to the timing of capital market reforms, they also found that capital market liberalization often increase the correlation between local market returns and the world market but do not drive up local market …show more content…
Volatility is more volatile during the recession. Financial asset volatility helps to predict future macroeconomic volatility. Financial leverage affects volatility, when stock prices fall relative to bond prices or when a firm issues new debt securities in large proportion than to new equity then capital structure changes and hence stock volatility increases. But this volatility change is considered small portion of the changes in stock volatility over time. Finally he found out that there is relationship between trading activity and stock volatility and also trading volume growth is positively related to stock
Equity markets have become much more volatile. The Chicago Board Options Exchange (CBOE) Volatility Index (VIX) is a “key measure of market expectations of near-term volatility conveyed by S&P 500 stock index option prices. Since its introduction in 1993, VIX has been considered by many to be the world's premier barometer of investor sentiment and market volatility.” When the last M&A Outlook was written, the VIX was at 11.57. At the start of November 2007, the VIX had increased to 23.21.
Post the era of World War I, of all the countries it was only USA which was in win win situation. Both during and post war times, US economy has seen a boom in their income with massive trade between Europe and Germany. As a result, the 1920’s turned out to be a prosperous decade for Americans and this led to birth of mass investments in stock markets. With increased income after the war, a lot of investors purchased stocks on margins and with US Stock Exchange going manifold from 1921 to 1929, investors earned hefty returns during this time epriod which created a stock market bubble in USA. However, in order to stop increasing prices of Stock, the Federal Reserve raised the interest rate sof loanabel funds which depressed the interest sensitive spending in many industries and as a result a record fall in stocks of these companies were seen and ultimately the stock bubble was finally burst. The fall was so dramatic that stock prices were even below the margins which investors had deposited with their brokers. As a reuslt, not only investor but even the brokerage firms went insolvent. Withing 2 days of 15-16 th October, Dow Jones fell by 33% and the event was referred to Great Crash of 1929. Thus with investors going insolvent, a major shock was seen in American aggregate demand. Consumer Purchase of durable goods and business investment fell sharply after the stock market crash. As a result, businesses experienced stock piling of their inventories and real output fell rapidly in 1929 and throughout 1930 in United States.
International investing is something that many investors find that they can benefit from for many reasons. Two of the main reasons why investors choose to invest in foreign markets are growth and diversification. Growth allows investors the potential to take advantage of new opportunities in foreign emerging markets. International markets can potentially offer opportunities that might not be available in the United States. Diversification allows investors to spread out their risk to different markets and foreign companies other than those just in the United States allowing them to potentially create larger returns on their investment as well as reducing risks. (U.S. Securities and Exchange Commission, 2012) While investing internationally can be a very lucrative and rewarding decision, there are also extra risks involved with investing internationally. One of the main risks that international investors encounter is foreign exchange risk also known as currency risk. Currency risk is a financial risk that is created by contact with unforeseen changes in the exchange rate between two currencies. These changes can cause unpredictable gains or losses when profits from investments are converted from a foreign currency to the United Stated dollar. There are precautions that can be taken by investors to potentially lower their risk of currency value fluctuations and other risk factors that are present in international investing. (Gibley, 2012)
A generation ago, it was generally believed that security markets were efficient in adjusting information about individual stocks and stock market as a whole (Malkiel, (2003)). However, we cannot deny the efficient market hypothesis has several paradoxes.
Market Risk is also known as Systematic Risk due to its broad impact on investments. The level of Market Risk depends on the probability that the entire market will decline and drag down the values of all companies. With Market Risk, investors stand to lose value irrespective of the companies, business sectors, or investment vehicles they are invested in. It can be difficult for investors to protect themselves against market risk, since investment strategies, like diversification, is mostly ineffective (Investopedia,
...phases. Fabozzi and Francis (1977) conducted a study testing the differential effect of bull and bear market conditions for 700 individual securities listed on the NYSE. It was found that the estimated betas of most of the securities were stable in both market conditions. However, Ray (2010) conducted a similar study over a period of ten years using monthly returns of 30 stocks. The results obtained were both mixed and inconclusive. Bowie and Bradford (1997) found that the tests of beta stability are difficult to interpret on their own. Gombola and Kahl (1990) suggest that an OLS estimate of beta requires an estimation period during which the relationship between the market return and the stock return remain stable. However, without this stability, an alternative for forecasting a time-varying relationship such as the Bayesian adjustment process will be required.
In turn everything in the present and the future is judged through the stocks as they hold a high importance in industrialized economies showing the healthiness of said countries economy. As investing discourages consumer spending over all decreases, it lead...
According to Perold (2004), ‘CAPM can be served as a benchmark for understanding the capital market phenomena that cause asset prices and investor behavior to deviate from the prescript...
Sung C. Bae, Taekho Kwon, and Jongwon Park, 2004, Futures Trading, Spot Market Volatility, and Market Efficiency: The Case of the Korean Index Futures Markets, Journal of Futures Markets 24, 1195-1228
However, the long-term future cannot be predicted due to the same reasons as weather can only be predicted only three weeks into the future. The stock market is a nonlinear dynamical system as it contains positive and negative feedback. Positive feedback such as when you make a profit after investing in the stock market causes people to again invest money into the stock market leading to more buying which raises price. Highly complex systems are not always chaotic instead they will behave predictably for a certain period and then seemingly randomly ill shift into chaotic behaviour. These types of systems can be mapped using simple chaotic systems which often exhibit patterns called strange attractors which demonstrate the system jumping into different modes of behaviour. The chaos in stock markets are caused due to the human psychology of trading which is never completely rational due to many outside factors. By analysing the statistical data, it is possible to find fractal which are infinitely complex patterns that are self-similar across different scales. These fractals are created by repeating straightforward process over and over in an ongoing loop and due to the simplicity of the fractals they can be used to predict the short-term future. The long-term prediction is practically impossible just like weather due to similar reasons as well. The butterfly effect means that variables that seemingly have a very minute effect on the overall outcome of the stock market slowly have an increased amount of effect in the outcome. Therefore, the short-term future of the stock market can be predicted using the Lorenz attractors and fractals however the lack of information causes long term predictions to be practically
Chapter 11 closes our discussion with several insights into the efficient market theory. There have been many attempts to discredit the random walk theory, but none of the theories hold against empirical evidence. Any pattern that is noticed by investors will disappear as investors try to exploit it and the valuation methods of growth rate are far too difficult to predict. As we said before the random walk concludes that no patterns exist in the market, pricing is accurate and all information available is already incorporated into the stock price. Therefore the market is efficient. Even if errors do occur in short-run pricing, they will correct themselves in the long run. The random walk suggest that short-term prices cannot be predicted and to buy stocks for the long run. Malkiel concludes the best way to consistently be profitable is to buy and hold a broad based market index fund. As the market rises so will the investors returns since historically the market continues to rise as a whole.
...t of deregulation and integration of national capital markets and extreme interest rate and currency volatility…” (Shapiro, 2006, p. 312)
I became an enthusiast of finance ever since I was at high school. At the political economy class, my teacher asked us: if you have a million RMB, how would you use it? She then introduced us the concept of investment, and I was intrigued specifically by the stock. For the latter two years of my high school, I have been reading books and articles regarding the stock market in the U.S. and in China. As one of the outstanding students ranked top 1% in College Entrance Exam in Hainan Province, China, I was accepted by the City University of Hong Kong with a full scholarship. With the strong interest in finance, I chose quantitative finance and risk management as my major.
The efficient market hypothesis has been one of the main topics of academic finance research. The efficient market hypotheses also know as the joint hypothesis problem, asserts that financial markets lack solid hard information in making decisions. Efficient market hypothesis claims it is impossible to beat the market because stock market efficiency causes existing share prices to always incorporate and reflect all relevant information . According to efficient market hypothesis stocks always trade at their fair value on stock exchanges, making it impossible for investors to either purchase undervalued stocks or sell stocks for inflated prices. As such, it should be impossible to outperform the overall market through expert stock selection or market timing, and that the only way an investor can possibly obtain higher returns is by purchasing riskier investments . In reality once cannot always achieve returns in excess of average market return on a risk-adjusted basis. They have been numerous arguments against the efficient market hypothesis. Some researches point out the fact financial theories are subjective, in other words they are ideas that try to explain how markets work and behave.
Stock market prediction is the method of predicting the price of a company’s stock. It is believed that stock price is lead by random walk hypothesis. Random walk hypothesis states that stock market price matures randomly and hence can’t be predicted. Pesaran (2003) states that it is often argued that if stock markets are efficient then it should not be possible to predict stock returns. In fact, it is easily seen that stock market returns will be non-predictable only if market efficiency is combined with risk neutrality. On the other hand it is also been concluded that using variance ratio tests long horizon stock market returns can be predicted....