Tag Archives: apple

Behavioral Reasons For You Being Merely An Average Investor

Summary Most of us are held back by our behavioral barriers. Knowing them helps you to understand why markets behave as they do. Anchoring and the bandwagon effect are one of the most important. If you are not happy with your investing returns, then you can basically find fault in two areas: Your knowledge of investing, or your behavioral barriers. This article will go through the most common behavioral barriers that you need to understand before you can climb over them towards greater wealth. I have long believed that investment success requires far more than intelligence, good analytical abilities, proprietary sources of information, and so forth. The ability to overcome the natural human tendencies to be extremely irrational when it comes to money is equally important. Warren Buffett agrees, commenting that, “Investing is not a game where the guy with the 160 IQ beats the guy with the 130 IQ… Once you have ordinary intelligence, what you need is the temperament to control the urges that get other people into trouble in investing.” The following text is taken and modified from my master’s thesis that focused on value investing and behavioral finance. If you want to read more on the subject, two excellent books to read are Thinking, Fast and Slow and Beyond Greed and Fear . For even deeper knowledge on the matter, you can look for articles written by people named in the following text. Behavioral financial experts basically do not have much faith in the rationality of investors and therefore are against the idea that markets are efficient. If it was, then value premium would be easily explained by the relationship between risk and return. Lakonishok, Shleifer and Vishny write that, due to irrational behavior, the market prices value stocks lower and growth stocks higher. Naive investors typically overreact to the stock market related news and forecast the same growth far into the future. Because of this type of actions, they enhance the effect that might have already been taking place. In simple cases, purchase happens because stock price has gone up, and selling happens because price had gone down. But, as a simple example, this can be due to one large investor selling or buying a large amount at the same time, resulting in a price change. Some investors might take this as a sign of change and hop on or off the train. This type of investor behavior can also be explained, at least partly, by agency issues. Many professional investors might be under pressure from their bosses, clients, or due to peer competition they are forced to deliver quick results. Therefore, they are being forced to favor short-term profits over better quality investments that require longer holding periods. This type of investment pattern is often seen among institutional investors and even CEOs. Also for any professional investor, it is greatly easier to recommend the purchase of well-doing growth stocks that have a good track-record, than value stocks with a long period of negative returns. Representativeness A financial example to explain representativeness is the winner-loser effect that was proven by De Bondt and Thaler. They find that stocks that have been biggest winners during the past three years do much worse than the stocks that were the biggest losers during that same timeframe. De Bondt proves that as analysts make long-term earnings forecasts, their views tend to be biased to the direction of recent success of the firm. Meaning that analysts are overly optimistic about recent winners and feel pessimistic about recent losers. Also, De Bondt finds that market predictions are overly optimistic (pessimistic) after three-year bull market (bear market). Therefore, it becomes quite clear that analysts’ recommendations are not particularly useful when they can be linked to representativeness. One reason for this behavior is that people underweigh evidence that disconfirms their prior views and overweigh confirming evidence (Shefrin). Overconfidence In simple terms overconfident people overestimate their skills to complete a difficult task and therefore are surprised more often than they anticipated. Clarke and Statman proved that people are overconfident. They showed this by simple questions such as: How long is the Nile? Give your answer with minimum and maximum so that you are 90 percent confident that the actual length is inside your low and high guess. They asked this type of questions in survey form and found that most people are not well aware of such things but are overconfident as their high guesses were often very low compared to the actual numbers. So when people are overly confident they set too narrow confidence bands in such questions and just like financial analysts, are surprised by the results. One way to understand this is to think of a stock you were following and should have sold much earlier than you did, but you didn’t because you kept believing it can’t go lower. Anchoring and Failure to Adjust Mendenhall and Abarbanell and Bernard find evidence that analysts underreact to earnings information. Even when they get to adjust their forecasts based on new information (such as a profit warning), they are still underreacting to actual results. Their work shows that analysts fail to appropriately tweak their forecasts. What happens is that, as analysts anchor their expectations to previous information, then surprises that happen are even larger in the end. This failure to adjust expectations can then lead to value stocks and large price jumps. Psychology and limits to arbitrage Arbitrage refers to a situation where investors are able to gain a riskless profit due to the market mispricing an asset. By buying an undervalued asset and cashing the profit when prices have returned to normal. In reality the risk is that the market can continue to misprice the asset even further. This is called as the “Noise trader risk”, introduced by Long, Shleifer, Summer and Waldman. Noise trader risk happens when irrational investors keep moving the price of an already mispriced asset to the same direction, despite the actions of one or more rational investors. Also transaction costs add more risk to the equation therefore limiting arbitrage behavior. Mental accounting A typical investor does not see every euro that he possesses as being identical. Mental accounting theory helps to explain why it is quite typical for investors to divide their money to “safe” money invested in low-risk assets, while investing their “risk capital” very differently. Once money has been placed in one mental account, it no longer is a direct substitute for money in another mental account. Mental accounting theory tries to understand this psychology of decision making. Mental accounting has three components, according to Thaler. First, outcomes are apprehended and experienced. Based on this, decisions are made and later evaluated. Second, activities and sources are categorized. For example to invest or to save and also the use of these funds for spending such as housing and food. Lastly, these accounting activities are rebalanced daily, weekly, monthly or so depending of that person’s personal preferences. Gross claims that in cases where a client’s investment is at a loss a stockbroker can keep its customers by using words “Transfer your assets”, instead of referring to selling and buying. Selling would lead investors to acknowledge their losses, but now they merely transfer their money from one mental account to another. Myopic loss aversion People have stronger reaction to losses in their wealth, than they do to increases even if gains are bigger than losses. Psychologically losses are taken approximately twice as heavily compared to gains. A myopic investor is defined as a person who tends to make short-term decisions over long-term ones, and often evaluates his/her losses and gains. An example of this would be to follow a myopic and a non-myopic investor. Myopic investors would likely avoid stocks and invest in assets such as safe and stable government bonds. If he had stocks, he would constantly check the market and, in case of a loss, feel it emotionally as very painful. Therefore, myopic loss-aversion leads investors to choose portfolios that are overly conservative. While a non-myopic investor would not check the market as often and would be comfortably unaware if his wealth happens to take an occasional downhill. Therefore, he prefers long-term investments with better returns over safer government bonds. (Thaler, Kahneman, Tversky and Schwarz) Framing As defined by Tversky and Kahneman, the term “decision frame” means the acts, outcomes and contingencies that a decision maker associates with a certain choice. This one frame depends on personal characteristics, norms, habits and also on how the problem is presented. As problems can be presented in many different ways, that can also change the outcome of framing. According to Tversky and Kahneman, “Individuals, who face a decision problem and have a definite preference, might have a different preference in a different framing of the same problem, and are normally unaware of alternative frames of their potential effects on the relative attractiveness of options.” Prospect Theory Developed by Tversky and Kahneman, it is an alternative theory to analyze decision making in situations that contain risk. Prospect Theory (PT) focuses on gains and losses instead of wealth. Also, instead of using probabilities and risk aversion, PT uses decision weights and loss aversion. An outcome is called a prospect, and a prospect includes a decision with some level of risk. Decisions are made in two levels: The editing and evaluation levels. In the editing level, possible outcomes are put in order, according to some heuristic. This can be explained by people looking at the outcomes and they make a mental note of an approximate and possible average outcome. By using that average as their reference point, they’ll then categorize lower outcomes as losses and higher ones as gains. So Tversky and Kahneman state that humans prefer focusing on gains and losses instead of their final wealth. The Bandwagon Effect This is a form of group thinking. With stocks, it refers to a situation when more and more people start to buy a certain stock, the more will follow, therefore increasing the demand more and more. They might do this despite their individual beliefs and opinions, simply because other people are doing it. As more and more people join, those that are still out are under group pressure to “join the fun”. The expression, “hop on the bandwagon” is typically used when this kind of a group effect is happening. Bandwagon effect has two sides to it, according to Shefrin. First, it is believed that a crowd must know something. Second, losers don’t want to be alone. In the case of negative returns, the pain of regret is eased by the knowledge that many others made the same mistake. This theory helps us to understand why growth and value stocks perform as they do. As more and more people abandon the stock, it becomes a value stock when enough people have “left the bandwagon”. Growth stocks are the opposite until they reach their peak when the first people start jumping off. The most rational investors should be the first ones to jump on and off the stock. Conclusion The world is full of information to learn. The hard part is learning to control yourself. When you understand and remember these behavioral barriers, you are above the average investor and closer to greater wealth. The bandwagon effect is one of the most basic ones, but also the most important one, in my opinion. It explains the market behavior during the most critical times, during a bubble and a crash. Disclosure: I/we have no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. (More…) I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.

ETFs For Exposure To MODIfied India

Summary India is one of the most popular emerging market destinations. Indian stock markets offer great opportunity for investors looking to diversify geographically. Investors need to embrace the ‘reactive’ nature of these markets. Exchange traded funds (ETFs) are one of the best ways to access stocks listed on Indian stock exchanges. The Modi government has ushered in an era of ‘investor confidence’ in India by ending the period of policy paralysis. The one-year old government has taken initiatives on various issues, which include foreign direct investment, direct transfer subsidies and streamlined tax regimes, among other things. These steps have been complemented by the disciplined monetary policy management by the Reserve Bank of India. Tamed inflation has given room to the central bank to lower interest rates. In addition, internationally low oil prices are coming in handy for India which is hugely dependent on oil imports. A lower import bill and better fiscal management will help reduce India’s deficit problems. Notably, the International Monetary Fund estimates a 7.5% growth rate for India’s economy this fiscal. The country’s economic environment augurs well for investing in Indian stock markets. Exchange traded funds are one of the best ways for investors to access Indian land and diversify their portfolio geographically. While Indian stock markets offer great opportunity, they tend to be over-reactive. The graph below shows the annual performance of MSCI India Index, MSCI Emerging Market Index and MSCI ACWII Investable Market Index. The MSCI Index India has performed better than the other than during upward trend, but has dipped more during market fall. Nevertheless, India is still one of the best options among the emerging markets. In 2015, till September 10, the MSCI India Index was down by 9.22% while the MSCI Emerging Markets Index was down by 15.91%. The MSCI Index for countries like Brazil (-37.38%), China (-11.46%), Indonesia (-29.77%), Taiwan (-13.20%) and Thailand (-16.20%) were in red. Out of the BRIC countries, Russia was up by 6.98% (MSCI data source ). The weakness in the markets can be seen as a buying opportunity and follow Warren Buffet’s words of wisdom. Warren Buffett in his piece in The New York Times in October 2008 wrote: A simple rule dictates my buying: Be fearful when others are greedy, and be greedy when others are fearful. And most certainly, fear is now widespread, gripping even seasoned investors. To be sure, investors are right to be wary of highly leveraged entities or businesses in weak competitive positions. But fears regarding the long-term prosperity of the nation’s many sound companies make no sense. These businesses will indeed suffer earnings hiccups, as they always have. But most major companies will be setting new profit records 5, 10 and 20 years from now. Here are some of the ETFs investors can consider to access the Indian stocks. WisdomTree India Earnings Fund The WisdomTree India Earnings Fund (NYSEARCA: EPI ), launched in 2008, is among the biggest and well-known funds allocated purely towards India. A portfolio of 235 stocks makes the fund adequately diversified across different sectors within the Indian markets. Majority of the holdings in the basket are large cap with some element of mid-cap stocks. The fund’s top ten holdings are some of the best-known Indian companies like Infosys Ltd (NYSE: INFY ), Reliance Industries Ltd, Hosing Development Finance Co, ICICI Bank Ltd (NYSE: IBN ), Tata Consultancy Ltd, Oil & Natural Gas Corporation, Tata Motors Ltd (NYSE: TTM ) and State Bank of India ( OTC:SBKJY ), among others. The allocation towards the top ten holdings usually hovers in the range of 40-45%. The sector breakdown reflects the fund’s emphasis on financials (26%), information technology (20%) and energy (16%) sectors. The fund tracks the WisdomTree India Earnings Index, which is a fundamentally weighted index and hence includes companies based on their earnings performance. This ETF with its fund size of $1.66 billion and expense ratio of 0.83% emerges as one of the good funds for investors looking to bet on India’s growth story and yet stay more conservative in approach. (Source for fund facts and figures here .) iShares MSCI India ETF The iShares MSCI India Index ETF (BATS: INDA ) offers a more concentrated, passively managed bet in Indian stocks with its compact portfolio of around 70 stocks belonging to the large-cap and mid-cap space. The ETF is heavily invested in sectors such as information technology (20%), financials (16%), consumer staples (12%), healthcare (11%), energy (11%) and consumer discretionary (9%). The top ten holdings reflect the presence of these sectors in the fund with companies such as Housing Development Finance Co (NYSE: HDB ), Infosys Ltd, Reliance Industries Ltd, Tata Consultancy Services Ltd, Sun Pharmaceutical Industries Ltd ( OTC:SMPQY ), ITC Ltd (NYSE: ITC ), Hindustan Unilever Ltd ( OTC:HNSQY ), Larsen & Toubro Ltd, HCL Technologies Ltd ( OTC:HCTHY ) and Bharti Airtel Ltd ( OTC:BHRQY ). This ETF has an expense ratio of 0.68% and a beta of 0.64 which classifies it as a defensive fund. Although this ETF was launched only in 2012, it has $3.58 billion in assets under management, which speaks of the popularity of the ETF. (Source for fund facts and figures here .) PowerShares India Portfolio The PowerShares India Portfolio ETF (NYSEARCA: PIN ) is a large-cap fund (97%) that tracks the Indus India Index, which is a composition of 50 stocks. These are the stocks of some of the biggest companies listed on the Bombay Stock Exchange as well as National Stock Exchange. The fund has been around since 2008. It is diversified across different sectors with high allocation towards information technology (23%) and energy (22%) sectors followed by healthcare (13%) and financials (11%). The top ten holdings of the fund add up to 56% of its net assets. Its stop picks are Infosys Ltd, Reliance Industries Ltd, Sun Pharmaceuticals Industries Ltd, Housing Development Finance Co, Hindustan Unilever Ltd , Oil & Natural Gas Corporation Ltd, Tata Consultancy Services Ltd, Coal India Ltd ( OTC:CLNDY ), Bharti Airtel Ltd and Indian Oil Corporation Ltd ( OTC:INOIY ). (Source for fund facts and figures here .) Market Vectors India Small-Cap Fund The Market Vectors India Small-Cap Index ETF (NYSEARCA: SCIF ) is for investors with a high risk appetite. The Fund seeks to track the performance of the Market Vectors India Small-Cap Index. The fund has a 97.6% exposure to India with 1.9% and 0.8% of its net assets invested in the US and Japan. The fund’s holdings are largely small-cap, which by basic trait are much more volatile (and hence risky) in movement; such stocks tend to rally more during a boom phase and are often abandoned during weak markets which accentuates their fall in such times. The fund commenced in 2010 and currently has a $172.44 million in net assets. The fund has about 130 small-cap stocks in its kitty with the maximum exposure to the top holdings restricted to around 5%. This decreases the concentration risk; the top ten holdings currently added up to 25%. The fund has a good management backing it in addition to growing liquidity, but is only suitable to high risk-reward players. (Source for fund facts and figures here .) Two more exchanged traded funds focusing on small-caps are the iShares MSCI India Small Cap Index ETF (BATS: SMIN ) and the EGShares India Small Cap ETF (NYSEARCA: SCIN ). SMIN launched in 2012 provides exposure to small publicly listed companies in India. The fund with its small asset base of $62.88 million is diversified across 200 holdings. The top holdings make up just 17% of the portfolio; a small allocation towards each stock reduces the dependence of the fund on the performance of few stocks (Source for fund facts here ). Launched in 2010, SCIN is another fund focusing on the small-cap companies in India. This fund has a smaller portfolio of 75 stocks. The industry breakdown shows dominance of financials, industrials, consumer goods and utilities, making up 72% of the portfolio (Source for fund facts here ). Sector Specific ETFs There are two ETFs, which are positioned to gain from specific industries -infrastructure and consumer industry. One is the EGShares India Consumer ETF (NYSEARCA: INCO ), which tracks the Indxx India Consumer Index designed to measure the market performance of companies in the consumer industry in India. The fund was launched in 2011 and currently has $80.81 million assets under management. The fund has a small portfolio of 29 stocks picked from consumer goods (75%), industrials (14%) and consumer services sectors (11%) (Source for fund facts here ). Then there is the EGShares India Infrastructure ETF (NYSEARCA: INXX ) which is looking to benefit from India’s infrastructure industry. The fund has a portfolio of 30 holdings picked mostly from the industrials (40%), telecommunications (19%) and utilities (17%) space. The fund has a small corpus of $42 million and an expense ratio of 0.85% (source for fund facts here ). Funds focusing on select themes or sectors tend to be more risky. There is something for super adventurous investors. It is the Direxion Daily India 3x Bull ETF (NYSEARCA: INDL ), which is a leveraged exchange traded fund that seeks a 3x return of its benchmark index on a daily basis. Conclusion While Indian stock markets offer great opportunity given the fundamentals of its economy, it is not immune to other markets and economies. Market correction are bound to happen and the corrections triggered by weakness in other markets shouldn’t affect long-term investors unless India’s own economic parameters look weak. The recent market fall offers a good time for investors to enter and start building a long-term portfolio. In a nutshell, India’s growth story is intact. Disclosure: I/we have no positions in any stocks mentioned, and no plans to initiate any positions within the next 72 hours. (More…) I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.