Investment decisions are made by fund selection (which fund to
buy) and market timing (when to be in or out of the market).
HCM's market timing models are computerized program that generates "BUY"
and "SELL" signals to help make investment decisions. These signals are
based on Harloff Inc.'s proprietary mathematical models. Early
application of one of the models to the SP500 index is documented here.
The system was developed in 1998 and examples of hypothetical trading the
SP500 without and with leverage, or beta, is provided here.
Beta is explained below. High and low beta funds were pioneered by
the Rydex mutual fund family. The Rydex Nova fund has a beta
of about 1.5 which means that the Nova fund goes up or down 150% compared
to the SP500 index. A money market fund has a beta of about zero.
Nova started trading about 7/9/1993. The Rydex Ursa fund has a beta
of -1.0 which means that the Ursa fund goes up or down 100% when the SP500
index goes down or up 100%. Ursa started trading about 1/7/1994;
this contrary fund performs inverse to the SP500 and can be purchased in
retirement accounts so the account can go up in a down market. High
beta funds up to 2.0 now exist. Examples provided below use NOVA, SP500,
URSA, and Money Market as investment vehicles which have beta of 1.5, 1.0,
-1.0, and 0.0 respectively.
The following table presents hypothetical results of one of Harloff
Inc.'s proprietary timing models used to time the market with index funds
based on SP500, Rydex Nova, money market (MM), and Rydex Ursa. The
computer model can use other index funds (and even commodities) which might
have different beta values like Rydex OTC, or the Potmac or ProFund funds.
For the first example using the SP500 index and a money market fund from
8/1/1985 to 7/13/1998 (13 years) the Harloff system return was 36.6%
per year with a maximum drawdown or loss of -9.4 % (on 1/20/1988) compared
to a buy-and-hold the SP500 index return of 17.7% per year and a maximum
drawdown of -33.5% (on 12/4/1987). The second entry examines the
Harloff timing system performance over a much longer period of over 56
years and finds the results to be quite similar to the 13 year results.
The fact that similar results are obtained for the much longer time period
adds confidence to the advanced technology developed. The remaining
cases examined all use the longer 56 year data base.
The third entry illustrates that changing the beta from 1.0 to 1.5, and
still employing money market when the system is short (out of the market)
increases the yearly average return from 36.5% to 56%. The fourth
example in the table below shows that by employing a negative 1.0 beta
(to simulate Rydex Ursa) when the system is short, and using a beta
of 1.0 when the system is long, the average yearly return increases
to 61.6%. Finally, by employing both a long beta of 1.5 and a short beta
of -1.0 the average yearly return is 84.7%. To see the historical
buy / sell signals of HCM's timing model for SP500 long and Ursa
when short, from 1942 to 1998, just click on this: HCM's
timing research .
| long beta | short beta | dates | Harloff % return/year | Harloff max drawdown,% | buy-hold % return/year | buy-hold max drawdown,% |
| 1.0 SP500 | 0.0 MM | 1985-1998 | 36.6 | -9.40 | 17.7 | -33.5 |
| 1.0 SP500 | 0.0 MM | 1942-1998 | 36.5 | -7.87 | 8.8 | -48.2 |
| 1.5 Nova | 0.0 MM | 1942-1998 | 56.0 | -11.3 | 8.8 | -48.2 |
| 1.0 SP500 | -1.0 Ursa | 1942-1998 | 61.6 | -10.0 | 9.0 | -48.2 |
| 1.5 Nova | -1.0 Ursa | 1942-1998 | 84.7 | -13.2 | 9.0 | -48.2 |
* The above data are hypothetical
and do not represent actual trading,
they may not reflect the impact that material economic and market factors
might have had on actual trading performance. The information used
in this report is generally available to the public from sources believed
to be reliable. No representation is made that it is accurate or complete.
Certain assumptions may have been made in this analysis. No representation
is made that the returns indicated will be achieved. Changes in the assumptions
may materially impact the returns presented. Past performance does not
guarantee future performance. The SP500 index is an unmanaged index consisting
of 500 common stocks traded by the public. Effect of material market
and economic conditions is given somewhat by market indexes such as SP500.
Further investments will be made under different economic conditions and
may be in different mutual funds. Potential for higher-than-average
returns is ordinarily accomplished by higher-than-average volatility and
risk. There are inherent differences in nature/volatility of most
mutual funds compared to any market-average indexes. Harloff Capital
Management, Harloff Inc. and/or their affiliates and/or key employees may
have positions in, and may effect transactions in mutual funds and indexes
mentioned herein. The investments discussed in this report may be
unsuitable for investors depending on their specific investment objectives
and financial position. The price or value of the investments to which
these reports relates, either directly or indirectly, may fall or rise
against the interest of investors. Harloff Capital Management, Harloff
Inc. has no affiliation with any mutual fund family or individual mutual
fund.
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