Tag: momentum

Transaction Cost Analysis of a Momentum Strategy

Momentum strategies have been on a tear over the last few years and have generally out-performed pure-value strategies. When we compare momentum returns with mutual funds, the most common criticism we encounter is that mutual fund returns are after transaction costs whereas our “Theme” returns are before transaction costs.

Momo (Relative) v1.1 vs ABSL S&M Fund (Annualized returns are 85.50% and 35.12%, respectively.)

The challenge we face in showing post-cost returns is that we offer different brokerage slabs to different types of clients, making a one-cost-fits-all analysis impossible. However, we can show how different brokerage slabs impact returns.

A gross return of 83.82% translates to returns of 74.20%, 69.58% and 65.08% for brokerage slabs of 0.1%, 0.05% and 0% respectively (STT of 0.1% was assumed.) Momentum out-performs even after transactions costs.

Residual Momentum

The conventional way of implementing momentum strategies rank either relative or absolute time series returns of a universe of stocks. If either market beta, value or the small-cap premium had a big hand in driving equity returns during the formation period, then the momentum portfolio will be overweight those factors. This leads to steep momentum crashes, or so the theory goes.

In their paper on Residual Momentum, Blitz, Huij and Martens propose ranking stocks based on the residuals obtained after fitting their return series to the Fama-French Three factor model. They argue that a portfolio created this way outperforms vanilla momentum strategies.

We have created an automated residual momentum strategy, Momo (Residual) v1.0, that implements the residual momentum strategy outlined in the paper.

Theme: Momentum Update 08.08.2016

held since returns (%)
COSMOFILMS
2016-Feb-02
+10.93
HIMATSEIDE
2016-Apr-04
+29.59
TRIVENI
2016-Apr-04
+16.24
MINDAIND
2016-Jun-08
+0.42
APLAPOLLO
2016-Jun-08
+1.41
NEULANDLAB
2016-Jun-08
+9.21
RUSHIL
2016-Jun-08
-8.30
GHCL
2016-Jun-08
+40.50
MANAPPURAM
2016-Jun-08
+50.13
MEGH
2016-Jun-08
+17.39
A2ZINFRA
2016-Jun-08
+47.24
LUMAXIND
2016-Jul-04
+4.67
KIRIINDUS
2016-Jul-04
-8.42
TIRUMALCHM
2016-Jul-04
+12.19
BALAMINES
2016-Jul-04
+8.28
GNFC
2016-Jul-04
-8.21
TRIGYN
2016-Jul-04
-16.24
PTL
2016-Jul-04
-1.10
BODALCHEM
2016-Jul-04
-0.67
PRICOL
2016-Jul-04
+38.99
Since the last rebalance on 2016-Jul-04 till 2016-Aug-05, this strategy has returned +1.73%

You can find more details about the Momentum Theme here.

Theme: Momentum Update 04.07.2016

held since returns (%)
KWALITY
2016-Jan-01
-20.99
COSMOFILMS
2016-Feb-02
+22.18
GAYAPROJ
2016-Mar-02
+6.55
HIMATSEIDE
2016-Apr-04
+17.75
GENUSPOWER
2016-Apr-04
-7.99
TRIVENI
2016-Apr-04
+28.86
TRIDENT
2016-Apr-04
-2.48
MINDAIND
2016-Jun-08
+0.43
APLAPOLLO
2016-Jun-08
+0.98
NEULANDLAB
2016-Jun-08
+8.67
RUSHIL
2016-Jun-08
+12.19
SUPPETRO
2016-Jun-08
+0.79
GHCL
2016-Jun-08
+11.24
UNIPLY
2016-Jun-08
-10.03
ITDCEM
2016-Jun-08
+9.22
IOLCP
2016-Jun-08
+14.47
MANAPPURAM
2016-Jun-08
+25.84
ORIENTPPR
2016-Jun-08
+10.38
MEGH
2016-Jun-08
+0.13
A2ZINFRA
2016-Jun-08
+55.33
Since the last rebalance on 2016-Jun-08 till 2016-Jul-01, this strategy has returned +6.53%

You can find more details about the Momentum Theme here.

Theme: Momentum Update 04.04.2016

held since returns (%)
SANGAMIND
2015-Sep-07
+14.87
NAVINFLUOR
2015-Dec-01
-8.90
8KMILES
2015-Dec-01
+10.09
RAJESHEXPO
2015-Dec-01
-12.27
KWALITY
2016-Jan-01
-16.69
MOREPENLAB
2016-Jan-01
-28.62
NILKAMAL
2016-Feb-02
-14.98
ICIL
2016-Feb-02
-7.74
GMBREW
2016-Feb-02
+18.41
COSMOFILMS
2016-Feb-02
+7.29
NDL
2016-Feb-02
-13.72
AEGISCHEM
2016-Feb-02
-0.10
MIC
2016-Feb-02
-10.63
WELSPUNIND
2016-Mar-02
+14.48
GAYAPROJ
2016-Mar-02
-12.90
JINDALPOLY
2016-Mar-02
+5.31
DISHMAN
2016-Mar-02
+0.59
JUBILANT
2016-Mar-02
+25.13
RUSHIL
2016-Mar-02
-34.70
CHENNPETRO
2016-Mar-02
+11.32
Since the last rebalance on 2016-Mar-02 till 2016-Apr-01, this strategy has returned +5.61%

You can find more details about the Momentum Theme here.