How Many Railway Stocks You Should Have

Rule 2: Never pay more for a stock than can be justified by the firm’s foundation value.

The extracted data used includes monthly returns from January 1972 to July 2011. The assets are selected so that the portfolio contains the largest, most liquid, and most tradable assets. The choice of such a variety of assets across several markets was used in order to generate a large cross sectional dispersion in average return. It helped to reveal new factor exposure and define a general framework of the correlated value and momentum effects in various asset classes.

Advisors and investors would do well to pay as much attention to the expected volatility of any portfolio or investment as they do to anticipated returns. Moreover, all things being equal, a new investment should only be added to a portfolio when it either reduces the expected risk for a targeted level of returns, or when it boosts expected portfolio returns without adding additional risk, as measured by the expected standard deviation of those returns. Lesson 2: Don’t assume bonds or international stocks offer adequate portfolio diversification. As the world’s financial markets become more closely correlated, bonds and foreign stocks may not provide adequate portfolio diversification. Instead, advisors may want to recommend that suitable investors add modest exposure to nontraditional investments such as hedge funds, private equity and real assets. Such exposure may bolster portfolio returns, while reducing overall risk, depending on how it is structured. Lesson 3: Be disciplined in adhering to asset allocation targets. The long-term benefits of portfolio diversification will only be realized if investors are disciplined in adhering to asset allocation guidelines. For this reason, it is recommended that advisors regularly revisit portfolio allocations and rebalance

“The Benefits of diversification are clear. Portfolio theory has played a crucial role in explaining the relationship between risk and return where more than one investment is held. It also enables us to identify optimal and efficient portfolios.”

railroad has allowed the rail industry to provide a more tailored service to its customers. It has also

How much risk are you really comfortable taking? How did you feel as your portfolio swooned last year? Understand that this could

magnitude of these risks, this paper advocates for a more proactive solution. Active investing in

o It is highly recommended to minimize the number of different financial assets selected for the portfolio. It is

Since the airline industry is a direct product of market conditions, it is greatly affected by all externalities. Many people noticed a decline in travel after the September 11th tragedy occurred due to safety concerns. When there is a huge increase in fares that definitely interferes with the demand for travel; it causes the price of tickets to continue to rise since a clear correlation between supply and demand exists. When the economy is doing well in terms of the employment rate, and when the dollar is strong people have the tendency to travel more (Jerram,1998).

Bonds and stocks will not respond in the same technique to adverse events. A mixture of asset classes will reduce the portfolio's sensitivity to market strikes. In general, if portfolio is diversified across bond and equity markets that they move in opposed directions, unpleasant movements in one will be counterbalance by positive outcomes in another. Finally, diversification can help an investor to manage risk and to reduce the instability of an asset's price movements and the risk cannot be eliminated completely, only can reduce the risk related with individual

Diversification is a method of investing that been shown to increase portfolio return while reducing portfolio risk as measured by standard deviation. This method specifically increases the efficient frontier for investors. The challenge to an investing firm is an appetite by its customers for an ever increasing efficient frontier. One area to explore to obtain this increase is through further diversifying through international diversification.

The results using the Monte Carlo Simulation to model the portfolio were poor. The author shows that although there is reduced risk compared to an all stock portfolio the rewards (returns) are lower. This means a fund manager may move to all stock portfolios.

Investor risk is reduced because they can diversify their holdings outside of a specific country, industry or political system. Diversification always increases return without increasing risk.

In their research study, Souder & Myles (2010) identify that risk is chiefly fundamental to investing. Böhringer & Löschel (2008) further add that there is no discussion of returns or performance that is deemed meaningful in the absence of at least some mention of the involved risk. However, the trouble for investors, who have just entered into the marketplace, involves the process of figuring where risk really lies, as well as what the difference between the various levels of risks. Relating to the manner, in which risk is fundamental to investments, a significant number of new

If the assets exist to help meet a liability, the liability should be considered in the process; 3. Basing one’s decision solely on an asset allocation’s mean and variance is insufficient to base one’s decisions, in a world in which asset class returns are not normally distributed; and, 4. Most investors have multi-period objectives and the mean-variance framework is a single period model. These potential shortcomings are the likely reasons that practitioners have not fully embraced meanvariance optimization. For a number of practitioners, mean-variance optimization creates the illusion of quantitative sophistication; yet, in practice, asset allocations are developed using judgmental, ad hoc approaches. Recent advances significantly improve the quality of typical mean-variance optimizationbased asset allocations that should allow a far wider audience to realize the benefits of the Markowitz paradigm, or at least the intent of the paradigm. In this article, we focus on the first issue: the lack of diversification that can result from traditional meanvariance optimization. We begin with two examples in which traditional mean-variance optimization