Correlation Between Market Anomalies And Its Impact On The Economy

The authors jointly examine momentum and value in eight different markets and asset classes. Asness, Moskowitz and Pederson found two main phenomena associated with returns across 8 various markets and asset classes in their research. These findings challenge previous, well-established theories, like the existence of significant premia in value and momentum return strategies across asset classes and global markets. This innovative research includes some new asset classes not previously used, such as government bonds, currencies, and commodities. The authors look to prove the

In February 1995, Adam Bain, investment advisor in the London, Ontario branch of RBC Dominion Securities Inc. (RBC DS), was considering whether or not to implement a price momentum strategy for his clients. Trend and Cycle, DS’s technical research department, had recently circulated a copy of a study which described a simple price momentum model and referred to its “startling results” based on back testing the strategy over a 15 year period. The Trend and Cycle group had long promoted the importance of price momentum and relative strength to potential clients. Bain needs to determine whether the proposed model was “too good to be true” or, if it did not look promising, how he would go about

It is often said that perception outweighs reality and that is often the view of the stock market. News that a certain stock may be on the rise can set off a buying spree, while a tip that one may be on decline might entice people to sell. The fact that no one really knows what is going to happen one way or the other is inconsequential. John Kenneth Galbraith uses the concept of speculation as a major theme in his book The Great Crash 1929. Galbraith’s portrayal of the market before the crash focuses largely on massive speculation of overvalued stocks which were inevitably going to topple and take the wealth of the shareholders down with it. After all, the prices could not continue to go up forever. Widespread speculation was no doubt a

““The name of the game, moving money from your clients pocket to your pocket”, Mark stated. “But if you can make your clients money at the same time it’s advantageous to everyone, correct?” “No, Mark replied…Okay, first rule of Wall Street-nobody and I don’t care if you are Warren Buffet or Jimmy Buffet- knows if a stock is going up, down or sideways, least of all stock brokers. But we have to pretend we know.”” (8)

We examine 82 situations where the market value of a company is less than its

This document is authorized for use only by Yen Ting Chen in FInancial Markets and Institutions taught by Nawal Ahmed Boston University from September 2014 to December 2014.

In the late October of 1929, the United States Stock Market took an immense plummet. This plummet acted as a catalyst to the beginning of the 10 year long Great Depression. It was known as Black Tuesday, aka the Wall Street Crash of 1929. (Harold)

By analyzing monthly returns of all 10 portfolios from 1927-2012 and 2000-2012, we can see that there is a general pattern that stocks with higher momentum have higher return, which confirms the momentum strategy. The average return of stocks with high minus low momentum is a little lower than that

In traditional financial theories, the most important assumption is the efficient market. However, numerous evidences show investors’ behaviour does not exactly match with the technical analysis from these models, and their emotion is the important factor resulting in the bias (Baker and Nofsinger 2002). Of which, the weather is one of the significant variables that affect the investors’ mood (Loughran and Schultz 2004). In this essay, I will discuss the issue whether the weather affects the stock market by providing various literatures evidences and my personal opinion. Whether the findings in the literatures violate the efficient market hypothesis is also examined.

In order to analyze the momentum effect of different specifications, stocks were divided into ‘winner’ stocks and ‘loser’ stocks according to their rankings.

Franco Modigliani and Merton Miller examined how a corporation should select securities to sell in order to attain an optimal mix between debt and equity, the mirror image of what Markowitz and Tobin had studied. Their findings led them to the conclusion that the market value of a firm is independent of its capital structure. In an efficient market, the market will place the same value on firms with equal earnings power and equal risk. Their most innovative contribution to the theory of finance was in elevating arbitrage to the level of a driving force. This Law of One Price states, “two assets with identical attributes should sell for the same price… a profitable opportunity will arise to sell the asset where it is overpriced and to buy it back when it is underpriced. The arbitrager will then lock in a sure profit, otherwise known as a free lunch.” (171) In effect, arbitragers actually fix the imperfections in the market by bidding away the

Over the past year both Tesla and BMW have taken severe losses to their share prices. overall Tesla has reported a lower loss percentage in its share price, -25% compared to BMW’s reported loss of -33%. However since October 2015 BMW has reported an over loss percentage than Tesla. The six month report of the two groups shows that BMW has traded at a higher price and therefore reports a lower loss percentage of -21% compared to Tesla’s -29%. Even more recently BMW’s share prices have increased by 1% whereas Tesla’s share prices have dropped by -11%. By reporting this gain it shows that BMW stock is in greater demand meaning that investors have

During this time period, prices for the stocks increase substantially, accordingly reducing risk premium demanded by the traders. Also, shares should amount from 30 to 55 percent of the entire investment portfolio to optimize the investor’s expected profitability. Proximity of the evaluated results to the reality reveals excellence of the myopic loss aversion model (Siegel and Thaler, 1997).

Ever since Ross (1976) proposed the Arbitrage Pricing Theory (APT) as an alternative to the capital pricing model, many economists and investors have applied APT across different markets. Whereas the traditional capital pricing model explained asset returns with one beta, sensitivity to the market return, APT decomposes the return with a multiple number of factors. This idea became particularly popular for investors who aim to gain systematic risk other than market risk. However, the model specification aspect has been challenging to many practitioners as the theory does not require any specific sets of variables to be used (Azeez 2006).

Many financial instruments have exhibited mean reversion, such as US and global equities [1], commodities [2], foreign exchange rates [3] as well as volatility indices [19]. Moreover, some researchers have also found mean reverting process to be very useful in modeling the interest rate and default risk dynamics [20]. In financial industry, some practitioners even attempt to profit by constructing mean-reverting prices which are usually known as statistical arbitrage or pair trading. Statistical arbitrage is a more sophisticated trading strategy that evolved out of the simpler pairs trade strategy [4]. In the pairs trading, two highly correlated stocks are put into pairs and when one stock outperforms the other, we short this stock and long the other stock. Unlike the pair trading, Statistical arbitrage usually considers a basket of hundreds or more stocks, long in some and short in others, in order to construct a mean reversion portfolio.