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ASSET ALLOCATION MODELS
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ZYX MULTI-ASSET GLOBAL
ALLOCATION MODEL
ZYX LONG SHORT EQUITIES
ALLOCATION MODEL
UPDATES

This long term model allocates assets on a  global basis between equities, fixed income securities, commodities, real estate, and currencies. The model further drills down to sub-asset classes, sectors, and sub-sectors

Allocations are based on identifying
the  changes early using  the ZYX

ZYX  MULTI ASSET GLOBAL ALLOCATION
Change Method.
A change  means a new risk reward ratio.

model
The model starts an allocation to an asset class or a sub asset class when the risk  is small, and the reward is high and increasing.  Allocation is increased as there is more confirmation of the trend and the thesis.  The model reduces the allocation as the risk increases even if the rewards are increasing. The model removes the allocation to the asset class as the risk goes higher even if the rewards are going higher.

              Risk Control

The model gives precedence to risk control over potential rewards.  The model is designed to maximize risk adjusted returns over a long period of time.  The model is not designed to maximize absolute returns over short periods of time.

The main purpose of this adaptive model is to guide the ratio of longs to shorts in global long/short equities portfolios. The long only portfolios can benefit from the success of this model by using it to  vary allocation to cash as well as shifts from defensive stocks  to high beta tocks and vice versa.

There are a large number of diverse timing techniques already available to portfolio managers, and we do not claim to invent a new technique.  The focus of our research is to first narrow the large universe of such techniques and factors that influence the market to a handful of factors that have the most predictive abilities; and then build an adaptive timing model using the selected factors.

                                  Adaptive Model

This is an adaptive model based on eight distinct inter-market, macro-economic, technical ,and fund flow inputs.

The model  makes  two adaptations in near real time  to the eight inputs as  new data becomes available.

First, the weight of an input is low if the data has been choppy or directionless. However, if the data offers strong direction, regardless of the magnitude, the weight of the input increases. Second, the weight of an input changes based on its correlation with the equity price.

                                      Eight Inputs 

 At present the following are the key ingredients of our timing model.

1. Aggressiveness of fund flows

2. Leading  global economic indicators

3. Commodity price movements

4. Relationship between currencies

5.Risk appetite as demonstrated by the relationship between the price movements of the stocks deemed safe vs. popular speculative stocks

6.Price action of the markets at key technical support/resistance levels

7. Price action of the markets as various classical technical patterns become apparent

8. Changes in market internals as the prices push through or fail at key support/resistance levels

                              Allocation to Cash 

The model's approach to cash allocation is not based on risk since the model has the flexibility to be long and short.

 concept behind cash allocation

The  model  strives for no cash when the probability of significant new and better opportunities becoming available in the near future is less than 60%. If the probability of significant new and better opportunities goes over 60%, the model starts cash allocation. The amount of the cash increases parabolically as the probability of new better opportunities goes higher.

 

 

This column is updated only when there is an actual change in allocation. These are longer term models and if you do not see a recent date, it simply means that the last shown allocation is in effect. For more recent commentary on allocations, please visit Market Blog
May 26,2010 Update
ZYX Multi-Asset Global Allocation Model

Taiwan Equities                   5% Long
Brazil Equities                      5% Long
India Equities                       5% Long
Europe Export Equities       30% Long
US Utilities Equities            10% Long
US Mega Cap Equities       10% Long
US High Yield Bonds         10% Long
US Senior Bank Loans       10% Long
US 20+ Year Treasuries     15% Short

If S&P 500 futures reach 1104 prior to the US May employment report, fully hedge all positions. Remove hedges if the employment report is favorable.
 
May 26, 2010 Update
ZYX Long Short Equities Allocation Model

Long        50%
Short        50%
Cash          0%


 
May 14,2010 Update
ZYX Multi-Asset Global Allocation Model
ZYX Long Short Equities Allocation Model

On both models, hedge  all short positions that were triggered when S&P 500 crossed 1170. The easiest way may be to hedge 100% of all short positions with futures. Exit silver and long volatility positions at the end of the day. The exception is copper -- will maintain the short. Lift the hedges on Monday if no adverse events occur in Europe. Reinstate the hedges based on event risk and technicals  as needed.

These models are typically not updated as often as they have been over the last two weeks, but here the fundamental and technical inputs to the models have been gyrating wildly. Such wild gyrations in the input data have never been seen since the inception of  real time publishing of these models in 2007.
The main culprits are the sovereign debt crises in Europe and the data coming out of China.


 
May12, 2010 Update
ZYX Long Short Equities Allocation Model

Long         0%
Short      100%
Cash          0%

This allocation will be effective when S&P 500 futures go over 1170. In the meanwhile, present allocation stays at 44% long and 56% cash. When S&P 500 futures go over 1170, the long allocation will become zero percent. In case, S&P 500 futures do not cross 1170, the new allocation will be effective on break of 1085.
 
MAY 12,2010 Update
ZYX Multi-Asset Global Allocation Model

US Retail Equities                 25% Short
S&P 500 Short Term
                   Volatility             15% Long
Crude oil                                  5% Short
Copper                                     5% Short
Silver                                         5% Long
Spain Equities                          10% Short
Emerging Markets Equities       10% Short
Cash                                        25%

This allocation will be effective when S&P 500 futures go over 1170. In the meanwhile, present allocation of only long positions and  cash stays effective. When S&P 500 futures go over 1170, all long allocations will become zero percent. In case, S&P 500 futures do not cross 1170, the new allocation will be effective on break of 1085.
 
May 7,2010 Update
ZYX Multi-Asset Global Allocation Model
ZYX Long Short Equities Allocation Model

On both models, buy to cover all short positions, hedge them , tight trailing stops or use a combination of the above. The easiest way may be to hedge 100% of all short positions with futures.

All components of both models have in a matter of  a week swung to extreme negative readings. In the past, such negative readings have resulted in at least short term explosive rallies.
 
April 1,2010 Update
ZYX Multi-Asset Global Allocation Model

Taiwan Equities                   5% Long
China Equities                     3% Short
India Equities                       5% Long
Asia Real Estate                 10% Long
US Small Cap Equities       10% Short
US Large Cap Equities       10% Long
US High Yield Bonds         20% Long
US Senior Bank Loans       10% Long
US HMO Equities                5% Short
US Retail Equities                 5% Short
Copper                                 2% Short
Chinese Yuan                        5% Long
Cash                                   10%
 
Mar 25, 2010 Update
ZYX Long Short Equities Allocation Model

Long       44%
Short       56%
Cash          0%

In this adaptive model, weight of an input changes based on its correlation with the price of the index. There are a total of eight inputs to the model. At present, the highest weight belongs to Global Leading Economic Indicators. The pace of positive movement in these indicators has stalled. Our proprietary methodology measures aggressiveness of fund flows; this input is at extreme  seen near market tops. Commodity price movements  input is close to what has been seen at market tops. The relationship between the currencies input to the model is forecasting  a lower market. Risk appetite input to the model is at  a neutral level.  Among the three technical inputs, two are very positive and one is slightly negative.

The net result is a modest increase to the short allocation.

Nov 12, 2009 Update
ZYX Long Short Equities Allocation Model

Long       45%
Short       55%
Cash          0%

The model successfully captured the swing low by increasing the long allocation. However, two of the the top three inputs have started sloping down resulting in allocation change.

In this adaptive model, at present the top weight belongs to the relationship between the currencies.  The next weight belongs to aggressiveness of fund flows followed by changes in market internals as the prices push through key support/resistance levels.  This set of weights has led to increase in the Short allocation

Oct 26,2009 Update
ZYX Multi-Asset Global Allocation Model

Taiwan Equities                    5% Long
China Equities                      5% Short
India Equities                       5% Long
Asia Real Estate                 10% Long
US Small Cap Equities       10% Short
US Large Cap Equities       10% Long
US High Yield Bonds         20% Long
US Senior Bank Loans       20% Long
Euro Dollar                          5% Short
Cash                                   10%

Oct 26, 2009 Update
ZYX Long Short Equities Allocation Model

Long       35%
Short       65%
Cash          0%

In this adaptive model, at present the top weight belongs to the relationship between the currencies.  The next weight belongs to aggressiveness of fund flows followed by changes in market internals as the prices push through key support/resistance levels.  This set of weights has led to increase in the Short allocation.
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Aug 7, 2009 Update
Long Short Equities Allocation Model

Long       20%
Short      30%
Cash       50%

Aug 3, 2009 Update
Long Short Equities Allocation Model

Long       25%
Short       25%
Cash       50%

Feb 24, 2009 Update
Multi-Asset Global Allocation Model

Indonesia Equities                 10% Long
Taiwan Equities                       5% Long
India Equities                        10% Long
US Small Cap Equities         10% Long
US Financial Sector Equities 10% Long
US High Yield Bonds           20% Long
Crude Oil                             15% Long
Copper                                 20% Long


Feb 24, 2009 Update
Long Short Equities Allocation Model

Long       100%
Short          0%
Cash          0%

Jul 14, 2008 Update
Multi-Asset Global Allocation Model

Deploy 100% of the cash in the model to short sell crude oil. No change in other allocations.

Oct 16, 2007 Update
ZYX Multi-Asset Global Allocation Model

Emerging Market Equities       50% Short
20 year US Treasury Bonds    30% Long
US Regional Banks                 10% Short
Cash                                       10%

Oct 16, 2007 Update
ZYX Long Short Equities Allocation Model

Long            0%
Short        100%
Cash            0%

The design of this model is such that 100% allocation to either long or short side is an extremely rare event.  Here in the middle of a bull market, the model is predicting extremely negative environment for global equities starting sometimes over the next year.

We will not second guess the analytics that have resulted in a conclusion that is so contrary to the prevailing wisdom, but will impress the importance of risk control on short positions in a bull market.
 


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