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Just In! What Are 'Fundamentals'?

 An Examination Of  Fundamentals

By Dr. M. Sury

 In investing, one can select securities based on “Technical considerations” or based on “Fundamentals”. We say that the decision to select a particular security (e.g. a stock or a Bond or a commodity etc) is based on technical considerations if the information used in the decision process is solely the patterns observed in the historical returns of that security and any associated statistics. 


Such an approach believes in the “pattern behavior” and that the company’s performance characteristics are already captured in the series of historical returns.  In contrast, those who select a security based on Fundamentals believe that the success or failure of the investment in that security will depend on the Management Team for that security as well as the resources they have access to and how they would use those resources to steer the growth of the security.  Information such as the Earnings in the past four quarters, earnings predicted for the next four quarters are most commonly used fundamentals.  To be able to compare the earnings of two different securities involved in the decision process, we use PE (or price to earnings ratio).  Clearly higher the PE, the price per a dollar of earnings is higher and thus the security with the higher PE is Costlier.  Every thing else being equal, lower PE is preferred. 
 
Sometimes, the price P of a security is compared to its assets (also referred to as the Book B ) and the ratio P/B (Price to Book) is used in comparing two securities, especially if the companies are in distress the investor is thinking of a Liquidation value of the remaining assets to decide on the investment.
 
Other fundamental information commonly used is the Debt to Equity Ratio.  Clearly, the fact that debt holders have to be paid prior to holders of equity  (in any liquidation) makes a security with higher Debt to Equity ratio to be less favored. It is to be noted that the revenues used to service an existing debt reduce the amount available for either growing the company or to pay dividends to the shareholders.
 
~ Manda Sury

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About Dr. Manda Sury

As a Principal and member of the Investment Committee at S4 Capital, Dr. Sury supervises the Firm’s quantitative/analytic programs and information architecture. In particular, Dr. Sury is responsible for the design and implementation of the portfolio optimization procedures for S4 Capital’s critically acclaimed “Efficient Portfolio Management (EPM)” process. 

Dr. M. Sury is a recognized expert in the fields of portfolio optimization, equilibrium-based asset allocation, and active risk budgeting. Among his research interests are investment risk modeling (including the incorporation of non-normal skew and kurtosis, conditional value-at-risk, and regime- or state-dependent performance), alpha-beta separation (analysis and identification of the systematic risks assumed by active investment managers), and the design of high-efficiency, high-speed computational procedures to facilitate complex financial simulations and calculations. 

In addition, Dr. M. Sury is responsible for engineering S4’s database architecture, which manages and integrates information across the firm’s global portfolio management, relationship management, and risk management efforts. 

Dr. M. Sury had previously held a variety of senior-level technical positions in both industry and academia, including Fidelity Investment Systems Co., Lockheed Missiles & Space Co., AT&T/Bell Laboratories, and the University of Michigan. Dr. M. Sury is a prolific author, with over two-dozen major research publications in the fields of mathematics, optimization, and computer science. He received his M.S. in Mathematics, M.S. in Computer Science, and Ph.D. in Mathematics from the University of Michigan at Ann Arbor. 

A loving husband, and father of two, Dr. M. Sury is cited by his son, esteemed professor and internationally recognized expert in Risk Management and Asset Allocation — Sharath Sury, as being the single most beneficial influence in his life.  

 

Just In! Dr. MBS Investigates The BETA -- a response to "Sharath Sury Explains The Alpha"

The BETA Significance

by Dr. M. Sury


CHICAGO, APRIL 5 /Everything-Finance.net/ — Sharath Sury explains that the returns from a fund are attributable to three sources – the Manager’s skill, the Market and Random fluctuations. The return derived from the Manager’s skill alone (if consistent during the period of observation) is called Alpha (Greek letter a).  The return attributable to the Market is denoted as a multiple Beta (Greek letter b) of the Market’s return. Finally the random fluctuation is denoted as Epsilon (Greek letter e). While this is a simple concept, there is quite a bit of complexity swept under the word “Market”. 
 
When the investable universe is U.S. Domestic equities (more specifically, the members of an index such as S&P 500), then the market is that index and so the volatility of the index becomes the Market risk. Beta, in this case, represents the “relative volatility” (called Covariance) in the fund per unit level of Market volatility.   The return of the fund attributable becomes Beta* X where X is the return of the S&P 500. When we take this more precise definition, and analyze what is practiced in the industry, we come to realize that the definition of Market can be different in different contexts.  Thus, for example, we look at both equities and debt instruments; the Market has to include not only Stocks, but Bonds of all types as well. If we wish to include the entire World Markets, then the return attributable to market is Beta*W where W is the return of a portfolio that consist of all bonds and equities in the entire world.
 
To simplify the discussion, some analysts have taken the approach that the return W of the entire World market is not significantly different from a “workable subset” such as the MSCI World Index and any small difference can be included in the Epsilon factor. This still does not address the fact that there are other asset classes (e.g. Commodities and real estate) that also can be invested and are actually traded in practice. 
 
Yet another complexity in defining the “market” is the inability (or unwillingness) of the investor to participate in certain segments of the market.  For example, an investor may wish to invest only in Socially Responsible Investments (SRI). This would then restrict what the “Market” can include.
 
Thus, for an investment advisor, the practical approach consists of the following steps: (a) Determine the “universe of investments” applicable to this investor and identify one or more (non overlapping) asset classes that represent this universe (b) Identify the allocation of assets to be invested in each class (c) construct a “custom index” using these allocations and find the “calculated returns” of the custom index to be used as the “Market return” X and  (d) use statistical “regression” technique to find the regression coefficient of the Fund’s historical returns relative to the corresponding market returns X.
 
There are several variations of the above technique in the literature using multi- dimensional Statistics which are beyond the scope of this note.
 
 


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