Categories: quant

ViniyogIndia🦎Chameleon Portfolio

ViniyogIndia🦎Chameleon portfolio offers an adaptive multifactor portfolio of stocks where the factor exposures are dynamically realigned based on performance. This portfolio is suitable for Moderately Aggressive to Aggressive investors.

Background:

ViniyogIndia offers model portfolios based on Quantitative Factor Investing strategy. Factors are quantitative attributes that can be used to explain asset returns.

Factor strategies have been extensively researched globally as well as in India. The below chart for example, summarizes the risk-return characteristics of single-factor portfolios in India between October 2005 and June 2017. Over the period, all major single-factor portfolios outperformed the S&P LargeMidCap.

ViniyogIndia’s factor portfolios use a combination of factors that are proven to work well in the Indian markets.

Source: S&P Dow Jones Indices LLC. Data from October 2005 to June 2017. Index performance based on total return in INR. Past performance is no guarantee of future results

Table of Contents

Background:
Stocks & Weights
Portfolio Design Rules
Risk Management Rules
Suitability
Historical Returns
1. Understand key terms & disclosures
Performance measurement & attribution Analysis
Sector allocation
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Credits

Stocks & Weights

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Portfolio Design Rules

Factor performance is cyclical. Consequently, single factor portfolios can underperform market benchmarks in the medium term. ViniyogIndia🦎Chameleon Portfolio addresses this problem by continuously realigning portfolio exposure towards the best performing factors.

Portfolio of approximately 20 stocks and ETFs selected from the NSE universe.
Stocks are ranked by factor exposures; the top 20 stocks with highest exposure to the best performing factor blend are chosen.
Liquidity filter to remove low volume | turnover stocks.
Rebalanced quarterly to keep the portfolio churn low.

Risk Management Rules

Risk exposure to the overall portfolio is contained by:

Limiting exposure to any single stock or sector
Conservative nature of the factor combination used to reduce downside risks.

Suitability

This portfolio is suitable for moderately aggressive to aggressive investors.

Performance measurement & attribution Analysis

To estimate alpha and interpret the sources of return for our strategy we perform a regression analysis using Carhart 4 Factor Model. The results are shown in the table below:

ALPHA	MKT	SMB	HML	WML
2.05	1.05	0.64	0.28	0.37
~0.0	~0.0	~0.0	0.0002	~0.0

The monthly alpha or excess return for the strategy is 2.05%. This is generated using a combination of secondary factors and factor rotation rules that tries to enhance portfolio returns while reducing risks.

Additionally, exposure to standard factors such as market beta, size, value and momentum also contribute to the overall portfolio returns.

Sector allocation

Historical sector allocation of the strategy shows adequate diversification. Analysis of historical sector allocation also shows greater allocation towards conservative sectors, such as IT Services, FMCG & Pharmaceuticals.

Fixed Fee:
Rs. ~~5499~~ 3599/ 6 months

smallcase:
Rs. 1999/ 3 months. Offered as smallcases.