Category: Your Money

The Trouble with Buy-and-Hold Forever…

Interesting report titled “MYTH: Time reduces risk” by Ineichen Research & Management:

Some academic finance literature suggests that time diversifies risk, meaning that investing for the long term reduces risk. Disciples of buy-and-hold strategies also believe in the idea of time diversification. The logic is that if one has a very long investment horizon, one can recover from large losses. The counter argument is that time actually amplifies risk. The logic here is that over the longer term, more bad things can happen and the probability of failure and destruction is higher.

We think time diversification is a myth. Time amplifies risk. It is true that the annual average rate of return has a smaller standard deviation over a longer time horizon. However, it is also true that the uncertainty compounds over a greater number of years. Unfortunately, the latter effect dominates in the sense that total return becomes more uncertain the longer the investment horizon. Furthermore, betting on the long term might not be applicable for most investors. After all, the long term is nothing else than many short-term periods joined together.

I think there is a fair amount of confusion between what “long-term investing” entails and “buy-and-hold-forever” type of investing and investors get into all sorts of trouble because of that. (here)

Also, the paper talks about diversification being the only free lunch. But the problem is best described by Howard Marks (here):

  • If you concentrate your portfolio, your mistakes will kill you.
  • If you diversify, the payoff from your successes will be diminished.

You should read the entire article:

Weekly Recap: Oranges, lemons and forex

world.2014-11-7.2014-11-14

Equities

Major
DAX(DEU) -0.42%
CAC(FRA) +0.30%
UKX(GBR) +1.33%
NKY(JPN) +3.62%
SPX(USA) +0.37%
MINTs
JCI(IDN) +1.24%
INMEX(MEX) -3.10%
NGSEINDX(NGA) +6.49%
XU030(TUR) +4.75%
BRICS
IBOV(BRA) -3.04%
SHCOMP(CHN) +2.51%
NIFTY(IND) +0.63%
INDEXCF(RUS) +0.24%
TOP40(ZAF) +0.71%

Commodities

Energy
Brent Crude Oil -5.20%
Ethanol +5.48%
Heating Oil -3.27%
Natural Gas -8.76%
RBOB Gasoline -4.40%
WTI Crude Oil -4.07%
Metals
Copper -0.33%
Gold 100oz +1.65%
Palladium -0.76%
Platinum +0.35%
Silver 5000oz +8.67%

Currencies

USDEUR:-0.72% USDJPY:+1.50%

MINTs
USDIDR(IDN) +0.29%
USDMXN(MEX) +0.00%
USDNGN(NGA) +3.59%
USDTRY(TUR) -1.26%
BRICS
USDBRL(BRA) +1.40%
USDCNY(CHN) +0.12%
USDINR(IND) +0.14%
USDRUB(RUS) +1.26%
USDZAR(ZAF) -1.62%
Agricultural
Cattle +2.22%
Cocoa -2.34%
Coffee (Arabica) +4.66%
Coffee (Robusta) +2.78%
Corn +3.74%
Cotton -5.11%
Feeder Cattle +0.87%
Lean Hogs +4.26%
Lumber -2.97%
Orange Juice +1.35%
Soybean Meal -2.52%
Soybeans -0.84%
Sugar #11 +1.15%
Wheat +9.15%
White Sugar +1.63%

Credit Indices

Index Change
Markit CDX EM -0.39%
Markit CDX NA HY +0.11%
Markit CDX NA IG -1.05%
Markit CDX NA IG HVOL +0.05%
Markit iTraxx Asia ex-Japan IG -0.64%
Markit iTraxx Australia -1.41%
Markit iTraxx Europe -1.03%
Markit iTraxx Europe Crossover -4.53%
Markit iTraxx Japan -3.54%
Markit iTraxx SovX Western Europe -1.10%
Markit LCDX (Loan CDS) +0.18%
Markit MCDX (Municipal CDS) -0.40%
The US Dollar continued to rally and credit spreads contracted. The NIFTY index ended making fresh highs. Oil continued to tumble.

Nifty Heatmap

CNX NIFTY.2014-11-7.2014-11-14

Index Returns

index performance.2014-11-7.2014-11-14

Sector Performance

sector performance.2014-11-7.2014-11-14

Advance Decline

advance.decline.line2.2014-11-7.2014-11-14

Market Cap Decile Performance

Decile Mkt. Cap. Adv/Decl
1 (micro) +1.36% 65/73
2 +2.57% 72/65
3 +1.58% 70/68
4 -0.78% 72/65
5 +0.66% 58/80
6 +0.64% 76/61
7 +0.95% 69/69
8 +0.37% 64/73
9 +1.24% 69/69
10 (mega) +0.98% 72/66
Midcaps chalked up a decent score. It was an even keeled performance across the market cap spectrum…

Top winners and losers

LICHSGFIN +10.03%
COLPAL +11.42%
INGVYSYABK +13.41%
CIPLA -6.30%
RCOM -5.43%
APOLLOHOSP -4.58%
The results season was not kind to Cipla (overblown expectations) and RCOM (typical ADAG nautanki.)

ETFs

JUNIORBEES +3.32%
PSUBNKBEES +3.25%
BANKBEES +1.87%
NIFTYBEES +0.44%
GOLDBEES +0.01%
INFRABEES -0.98%
CPSEETF -1.01%
The Juniors reflected mid-cap performance. Banks continue to catch a bid and are expected to outperform…

Nifty OI

nifty.puts.calls.NOV.2014-11-7.2014-11-14

Bank Nifty OI

bank-nifty.puts.calls.NOV.2014-11-7.2014-11-14

Yield Curve

yield Curve.2014-11-7.2014-11-14

Bond Indices

Sub Index Change in YTM Total Return(%)
GSEC TB +0.17 +0.11%
GSEC SUB 1-3 +0.17 +0.01%
GSEC SUB 3-8 -0.10 -0.01%
GSEC SUB 8 -0.05 +0.37%
The flat yield curve drifted down with lower inflation numbers and rate cut expectations.

Theme Performance

Thought for the weekend

Lessons and observations from the recent FX scandal:

  1. Everyone was much more interested in managing the dealing costs that they could see, not the execution quality which they couldn’t.
  2. Information is currency. But regulators tend to like to work on the assumption of markets in which everyone has exactly the same information set. Paying in information is sometimes cheaper for the client than paying in money.
  3. The client keeps on bidding the visible cost of trades downward, but isn’t prepared to put in any effort at all on his own part to see what consequences this has.

Source: Oranges, lemons and forex

RSI through a Support Vector Machine, Part Deux

Yesterday, we asked a question: How would an SVM (Support Vector Machine) train if we gave it a 14-day RSI and 50-day SMA of the Nifty index? The goal was to use the SVM to first see if it can figure out a relationship between RSI and NIFTY and then check if we can turn that into a set of trading rules.

If you look at the predictions that the SVM gave for 2006, you can see two distinct areas where it went short (red contours) and where it went long (blue contours.) But the funny thing is, it went long when RSI > 50 (when the market is supposed to be overbought) and short when RSI < 40 (supposed to be oversold.)

svm-rsi-nifty-2006

The kicker is that it followed the trend (x-axis) more than RSI (y-axis). In terms of predictive power, trend seems to be way more powerful than RSI, at least for the year 2006.

To check if we can actually setup any trading rules (trend x RSI = 4 combinations for buy/sell), we ran yearly training data through an SVM to check if there were any stable relationships. Here’s the video:

The contours change year to year, with little stability between them. Basically, a trading strategy based on RSI is going to be random.

Related: Using SMA to Reduce Volatility of Returns

Weekly Recap: Freedom to Win

world.2014-10-31.2014-11-07

Equities

Major
DAX(DEU) -0.38%
CAC(FRA) -1.02%
UKX(GBR) +0.32%
NKY(JPN) +2.84%
SPX(USA) +0.90%
MINTs
JCI(IDN) -2.01%
INMEX(MEX) -1.17%
NGSEINDX(NGA) -11.52%
XU030(TUR) -3.38%
BRICS
IBOV(BRA) -1.09%
SHCOMP(CHN) -0.08%
NIFTY(IND) +0.18%
INDEXCF(RUS) +0.58%
TOP40(ZAF) +0.97%

Commodities

Energy
Brent Crude Oil -2.98%
Ethanol +2.19%
Heating Oil -1.20%
Natural Gas +12.77%
RBOB Gasoline -2.40%
WTI Crude Oil -2.73%
Metals
Copper -0.33%
Gold 100oz -0.03%
Palladium -2.37%
Platinum -1.35%
Silver 5000oz -5.66%

Currencies

USDEUR:+0.65% USDJPY:+2.16%

MINTs
USDIDR(IDN) +0.77%
USDMXN(MEX) +0.60%
USDNGN(NGA) +0.06%
USDTRY(TUR) +1.77%
BRICS
USDBRL(BRA) +3.46%
USDCNY(CHN) +0.15%
USDINR(IND) +0.44%
USDRUB(RUS) +8.63%
USDZAR(ZAF) +2.38%
Agricultural
Cattle -1.60%
Cocoa +0.78%
Coffee (Arabica) -2.94%
Coffee (Robusta) -1.56%
Corn -2.33%
Cotton +0.61%
Feeder Cattle +1.73%
Lean Hogs +0.70%
Lumber +0.43%
Orange Juice -5.07%
Soybean Meal +1.32%
Soybeans -2.50%
Sugar #11 -2.06%
Wheat -3.20%
White Sugar -1.04%

Credit Indices

Index Change
Markit CDX EM +0.14%
Markit CDX NA HY +0.38%
Markit CDX NA IG -1.85%
Markit CDX NA IG HVOL -0.83%
Markit iTraxx Asia ex-Japan IG -4.08%
Markit iTraxx Australia -2.75%
Markit iTraxx Europe -2.67%
Markit iTraxx Europe Crossover -8.85%
Markit iTraxx Japan -4.21%
Markit iTraxx SovX Western Europe -0.66%
Markit LCDX (Loan CDS) +0.04%
Markit MCDX (Municipal CDS) -2.00%
The US Dollar continued to rally with the Ruble and Yen bearing the brunt. Oil continued its slide.

Nifty heatmap

CNX NIFTY.2014-10-31.2014-11-07

Index Returns

index performance.2014-10-31.2014-11-07

Sector Performance

sector performance.2014-10-31.2014-11-07

Advance Decline

advance.decline.line2.2014-10-31.2014-11-07

Market cap decile performance

Decile Mkt. Cap. Adv/Decl
1 (micro) -0.08% 72/68
2 +3.25% 78/61
3 +3.16% 77/62
4 +3.00% 70/69
5 +2.24% 75/65
6 +1.28% 70/69
7 +3.19% 75/65
8 +2.16% 71/68
9 +1.96% 75/65
10 (mega) +0.72% 70/70
Midcaps outperformed the large caps this week…

Top winners and losers

ZEEL +8.03%
CUMMINSIND +9.15%
GLENMARK +11.34%
GAIL -8.27%
NMDC -7.69%
COALINDIA -7.02%
Coal India – soon to be and irrelevant, strike-plagued ex-monopoly.

ETFs

PSUBNKBEES +2.83%
INFRABEES +2.70%
BANKBEES +1.30%
NIFTYBEES +0.50%
JUNIORBEES -0.79%
GOLDBEES -1.52%
CPSEETF -2.36%
Banks continued to outperform the rest of the indices. PSU banks – turning around?

Nifty OI

nifty.puts.calls.NOV.2014-10-31.2014-11-07

Yield Curve

yield Curve.2014-10-31.2014-11-07

Bond Indices

Sub Index Change in YTM Total Return(%)
GSEC TB -0.39 +0.27%
GSEC SUB 1-3 -0.21 +0.68%
GSEC SUB 3-8 -0.18 +0.78%
GSEC SUB 8 -0.07 +0.81%
The entire curve shifted down, and its now flat enough to crack some eggs and make an omelette.

Theme Performance

Thought for the weekend

When you’re in freedom to win mode, you’re constantly focused on improving your position, capabilities and odds of winning. You are always evaluating strategies, and making up clever lines of attack or defense. The activity that glues the rest of your activities together is keeping score.

In poker, due to the inherently probabilistic nature of the game, technically perfect game-play can still lead to a loss, so players of those finite games make sure they keep two kinds of score: actual wins/losses, and a separate score that measures whether or not they played correctly, whatever the outcome.

This separation of technical score-keeping and outcome score-keeping leads to a more dangerous place: score-keeping becoming sufficient to sustain finite-game mindsets even when the game is ambiguous or unclear, and there is no agreement among players about what the goal is.

Money is the classic example of a mechanism for keeping score that is divorced from outcomes.

Read the whole thing here: Don’t Surround Yourself With Smarter People