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5/10/2013Market Performance

S&P Indices
Municipal Bonds
S&P National Bond Index 3.00% 0.02
S&P California Bond Index 2.96% 0.02
S&P New York Bond Index 3.13% 0.02
S&P National 0-5 Year Municipal Bond Index 0.70% 0.01
S&P/BGCantor US Treasury Bond 400.09 -0.87
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Income Equities:
Preferred Stocks
S&P U.S. Preferred Stock Index 848.03 -1.02
S&P U.S. Preferred Stock Index (CAD) 636.26 5.15
S&P U.S. Preferred Stock Index (TR) 1,701.05 -1.30
S&P U.S. Preferred Stock Index (TR) (CAD) 1,276.26 10.89
REITs
S&P REIT Index 174.07 -0.65
S&P REIT Index (TR) 425.30 -1.56
MLPs
S&P MLP Index 2,469.58 14.93
S&P MLP Index (TR) 5,428.50 32.82
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Income Security Dividends

Security Amount Ex-Div Date
AESYY $0.28 IAD increased from 0.0303 to 0.2771   May 16
AQN PRA $0.28   Jun 12
BAM PFA $0.28   Jun 12
BAM PFB $0.26   Jun 12
BAM PFC $0.30 IAD decreased from 0.4119 to 0.3031   Jun 12
BAM PRG $0.24   Jul 11
BAM PRJ $0.34   Jun 12
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Basics Of ETF Risk, Part II: Beta And Alpha

Index Universe - Nov. 7, 2011 - By Paul Britt

While ETF performance descriptions might bring to mind Mark Twain’s phrase “lies, damn lies, and statistics,” risk metrics are indispensible when evaluating a fund.

When analyzing ETFs, we often evaluate pairs of data. For example, we compare a fund’s market price against its net asset value (NAV). Or we might look at a fund’s NAV versus the index it tracks. I described these fundamental relationships in a previous piece looking at what I consider to be crucial terminology.

Basic performance statistics that compare data sets aren’t complicated, but the terms themselves often carry baggage that obscures their meaning.

For example, alpha is often associated with risk takers, and beta with the follow-the-herd crowd. I don’t buy these characterizations. Moreover, I think the mystique around these terms just gets in the way.

Beta and alpha come from regressions. Here’s the basic idea:

Take two sets of numbers, such as daily returns. Plot all the returns on a simple grid, with one set on the horizontal axis and the other on the vertical axis. The regression is the best estimate of a straight line that comes closest to fitting these points. Beta is simply the slope of this line and alpha is the intercept.

Beta

Beta is typically used to compare a fund to a broad index. Let’s say you’re looking at an equal-weight fund like the Rydex S&P Equal Weight ETF (NYSEArca: RSP). You want to know how the fund stacks up against a comparable cap-weighted fund like the SPDR S&P 500 ETF (NYSEArca: SPY).

For the complete article.
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