Options Education
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The majority of
literature that discusses asset allocation linking multiple markets has a heavy
dose of macro and microeconomics. Typically, macro-micro relationships require
applying econometric models to comprehend the structural linkages between the
two intertwined fields of economics.
John Murphy removes the hard statistical methods while retaining the
economic logic with chart-based reasoning.
John Murphy was the
technical analyst for CNBC-TV for seven years and a professional analyst for
over 25 years. His career includes time at Merrill Lynch as a Director of
Commodity Technical Analysis. John
has his own consulting firm, JJM Technical Advisors. He is also president of MurphyMorris, Inc., which was
created to produce educational software products and online services for
investors.
There are adequate reader reviews on Amazon and Google
Book Search, to help you decide if you will get the book. For those who have
just started or are about to read the book, I’ve summarized the core concepts
in the larger and essential chapters to help you get through them quicker.
The number on the
right of the title of the chapter is the number of pages contained within that
chapter. It is not the page number.
The percentages represent how much each chapter makes up of the 246
pages in total, excluding appendices.
1 A
Review of the 1980s. 16, 6.50%.
2 1990
and the First Persian Gulf War.
16, 6.50%.
3 The
Stealth Bear Market of 1994. 18,
7.32%.
4 The
1997 Asian Currency Crisis and Deflation.
14, 5.69%.
5 1999
Intermarket Trends Leading to Market Top.
16, 6.50%.
6 Review
of Intermarket Principles. 16,
6.50%.
7 The
NASDAQ Bubble Bursts in 2000. 18,
7.32%.
8 Intermarket
Picture in Spring 2003. 16, 6.50%.
9 Falling
Dollar During 2002 Boosts Commodities.
14, 5.69%.
10 Shifting
from Paper to Hard Assets. 14,
5.69%.
11 Futures
Markets and Asset Allocation. 20,
8.13%.
12 Intermarket
Analysis and the Business Cycle.
20, 8.13%.
13 The
Impact of the Business Cycle on Market Sectors. 18, 7.32%.
14 Diversifying
with Real Estate. 18, 7.32%.
15 Thinking
Globally. 12, 4.88%.
Focus on chapters
3, 7 and 11-14, which makes up about 46% of the book. Especially chapters 11-14
are relevant for practical trading purposes. Unlike my prior book reviews, where I’ve summarized the key
points for each focus chapter, I will summarize the key points across chapters
3, 7 and 11-14. This is to recognize the connectivity of intermarket
relationships across the 4 main asset classes of Stocks (Equities), Bonds,
Currencies and Commodities. The
context of the summary is to be viewed from a retail option trader’s
perspective.
Here are the Key
Directional Intermarket Relationships in brief.
The
U.S. Dollar (USD)
❑
USD turns
up as Bonds rise under normal conditions but Bonds fall during deflationary
periods. USD turns down as Bonds fall but Bonds rise during deflationary
periods.
❑
USD turns
up as Commodities fall. USD turns
down as Commodities rise.
❑
USD turns
up as Stocks rise but Stocks fall during deflationary periods. USD turns down
as Stocks fall but Stocks rise during deflationary periods.
The
USD remains the most liquid of all major traded currencies and maintains its
position as the primary global reserve currency, despite growing sentiment for an
alternative basket of currencies to replace it.
Bonds
❑
Bonds turn
up as the USD falls but the USD rises during deflationary periods. Bonds turn
down as the USD rises but the USD falls during deflationary periods.
❑
Bonds turn
up as Commodities fall. Bonds turn
down as Commodities rise.
❑
Bonds turn
up as Stocks rise. Bonds lead Stocks and Stocks lag behind Bonds. Bonds turn
down as Stocks fall. Again, Bonds lead Stocks and Stocks lag behind Bonds.
Commodities
❑
Commodities
turn up as the USD falls.
Commodities turn down as the USD rises.
❑
Commodities
turn up as Bonds fall. Commodities turn down as Bonds rise.
❑
Commodities
turn up as Stocks fall. Commodities turn down as Stocks rise.
Stocks
❑
Stocks turn
up as the USD rises. Stocks turn
down as the USD falls.
❑
Stocks turn
up as Bonds rise. Stocks turn down
as Bonds fall. Again, Bonds lead Stocks and Stocks lag behind Bonds.
❑
Stocks turn
up as Commodities fall. Stocks
turn down as Commodities rise.
Specific to
Equities, as you trade the options on Sector Indexes of the S&P 500, please
be aware of the correlation versus non-correlation with other equity and
non-equity traded products. I am
stating in brief, the more commonly known relationships that are repeatedly
cited in the book:
❑
Changes in Energy (XLE) especially Oil (OIH, OSX) impacts Semiconductors
(SMH, SOX).
❑
Utilities (XLU, UTH, UTY) are negatively correlated with Semiconductors
(SMH, SOX).
❑
With broad-based Equity Indexes, the highest correlation is between Dow
Jones and S&P 500.
❑
Canada benefits from rallies in oil being the ninth largest producer of
crude oil globally. While Japan, a
major net oil importer suffers. The tickers for this inter-play would be
FXC/XDC (Canadian Dollar), FXY/XDN (Japanese Yen) and OIH/OSX (Oil).
❑
Gold (XAU, GLD) behaves like the Australian Dollar (FXA, XDA). Australia
is the third largest producer of gold globally.
❑
Top three currencies that have the tightest correlations with
commodities are the Australian Dollar, the Canadian Dollar and the New Zealand
Dollar.
❑
Gold/Silver (XAU, GLD) has very little correlation with other Indices.
A deeper
understanding of these inter-plays can help you construct effective pairs
trading methods.
In conclusion, from
a retail option trader’s viewpoint, always remember that it is volatility that
you are trading. To trade the
volatilities across multiple asset classes, use an optionable Index
representing that particular asset class.
Remember, Implied Volatility can be added to or reduced from your
portfolio, as not all Asset Classes or Sectors or Individual Companies or
Countries move up/down in value ALL at the same time; and/or, ALL at the same
rate.