The Little Book of Behavioral Investing: Conclusion

Why promising to be good just isn’t good enough…

This is the close of the The Little Book of Behavioral Investing. I must admit that while I expected the review to be an edifying experience, I didn’t expect it to be such fun. Many thanks to James Montier for making what could have been dreary an engaging, relevant and enriching read.

The book is on its last page but what about you and me? It’s certainly not the end for us, it’s a beginning of our journey to becoming better investors.

And why only investors?

Like I mentioned before, the teachings in this book go far beyond the circle of investors. The wisdom is universal as are the traits that make us a victim of our own biases. And the secret sauce here, as Kung Fu panda realized, is that there’s no secret sauce. The only weapon to defeat all biases is you. Through this book, we can learn the tools and strategy to achieve bias nirvana.

But promising to improve won’t do the magic. In fact, there is no magic, just commitment, perseverance and focus.

Montier admits he’s as bad as the rest. He may keep an investment diary and stick to an investment plan but he’s vulnerable when it comes to his eating habits. If eating is his nemesis, change aversion is mine. And though I realize this trait could hurt me in the long run, I don’t do much about it.

Access to knowledge certainly doesn’t guarantee obeisance.

There are some habits we just don’t want to change. It’s too much trouble or maybe, the outcome of harbouring this habit hasn’t hit us yet. Remember “after loss” versus the “risk of incurring a loss” behaviour?

Till the worst hasn’t happened, we don’t push ourselves to change. Montier observes that this happens even when a negligence is of life-threatening proportions. In a group of men and women who were educated on how a condom could prevent the spread of HIV/AIDS, a good percentage still chose not to use one. It’s their very life they’re risking but for some unfathomable reason, they’re supremely optimistic about their chances.

The traits Montier talks about through the book inflict people across the board. Especially over-optimism and excessive self-confidence. Now, I’m not an early riser. So when I set my alarm for 5.15am, I know there’s a good chance I won’t wake up. I even keep the alarm near me, so it’s easy to switch off without opening my eyes! Yet, over the last month, I did this every night, promising myself tomorrow would be different. Where did my optimism come from? I have no idea.

The only way I managed to break this record was keeping the alarm in the next room so I had to walk 20 feet to switch it off. By which time, I can usually usurp my inner devil and head to the washroom instead of the bed.

What I needed was an actionable step, not just a resolve.

Montier gives us actionable steps to alter our habits too. It’s not easy to change and unadvisable to try and change too much at a time. Our body and mind won’t take it.

So, start easy. Apply some rebiasing and simple rules.

To do this, follow a process. For investors, the investment plan provides the process. It is our strongest weapon against all behavioural pitfalls.

Remember, even the world’s leading investors are prone to weaknesses. That’s why they stay away from stock dashboards and media noise themselves, focusing only on their investment plan and giving the responsibility of execution to others.

So don’t be too hard on yourself. Even the best can go wrong without process. The important thing is to recognize and accept your weaknesses, and take steps to control them. Once you’ve figured that out, you’re on the road to becoming a better investor.

Let this be a new beginning.

 

Monica Samuel is doing a chapter-wise review of the book: The Little Book of Behavioral Investing: How not to be your worst enemy by James Montier. You can follow the series by following this tag: tlbbinvesting or by subscribing to this rss feed: tlbbifeed

 

A Simple Bollinger Band Trading Model

Bollinger Bands have quickly become one of the most commonly used tools in technical analysis. Bollinger Bands consist of three bands – an upper, middle and lower band – that are used to spotlight extreme short-term prices in a security. The upper band represents overbought territory, while the lower band can show you when a security is oversold. Most technicians will use Bollinger Bands in conjunction with other analysis tools.

A simple BBand strategy is buying stocks that break the lower Bollinger Band. It is expected that the price of the stock will revert back above the lower band and head toward the middle band.

You can build you own Bollinger Band based strategy that scans all the Nifty 50 stocks for a potential break using the StockViz Technical API in a few lines of code.

# get the index constituents and loop through them
constituents = common.getConstituents("CNX NIFTY") 

for cc in cleanConsts:
     ticker = cc["SYMBOL"]
     # get the latest technicals
     techs = common.getTechnicals(ticker) 
     t = techs[len(techs)-1]
     # get the latest price
     price = common.getLivePrice(ticker)

     #make the decision
     if t["BB_DN"] > price:
		#there was a breakdown

		print "Buy:", ticker
		common.placeTrade(ticker, 1, "buy")

You can read the whole code on GitHub

Source: investopedia

Related

When the bell-curve meets the shark-fin

To be good at long-term investing, it is essential to understand the impact of innovation (previous posts.) Previously, we discussed how banking, one of the most highly regulated industries, is getting disrupted. There is a bigger under-current at play here. Accenture’s Larry Downes and Paul Nunes have this to say in their book Big Bang Disruption: Strategy in an Age of Devastating Innovation.

The new disrupters attack existing markets not just from the top, bottom, and sides, but from all three at once. By tying their products to the exponential growth and falling costs of new technologies, their offerings can be simultaneously better, cheaper, and more customized. Not just for one group of users, but for all (or nearly all) customers. This isn’t disruptive innovation. It’s devastating innovation.

 

Earlier research into innovation had modeled it in terms of a bell curve – you have your early adopters who pay a premium for a less-optimal product. This helps you finish up the product for a wider audience, aka “crossing the chasm.” However, innovation in the age of cloud computing, social networks and always-on internet should be modeled as a “shark fin.”

shark fin innovation

Traditionally, incumbents have been able to stave-off disruption by observing what their competitors were up to. For example, if Panasonic caught wind that Sony was working a high-def portable system, then it too would embark on a research project to head-off Sony. But increasingly, innovation is coming “sideways.” For example, Google Maps did not intend to kill off the map making industry, it was just collateral damage caused by Android + phone GPS + 3G network.

These “big bang” disruptions also have a tendency to tail off just as suddenly as they show but, but not without completely throwing the existing incumbents in to disarray. One of the competitive responses has been to buy off the disrupter. But this could end badly if there is no easy answer to the questions “What next?”

zynga omg

Case in point: Zynga’s acquisition of OMGPOP for $180M

But that is not to say all acquisitions are doomed. Consider Google’s acquisition of Waze for $1B in 2013. The company itself was founded just 5 years ago in 2008 but had 50M users at the time of its acquisition. Instagram’s user base grew from 30 million users when it was acquired by Facebook in 2012 and over 150 million by the end of 2013. And let’s not forget Google’s acquisition of Youtube and Cisco’s strategy of “accretive acquisitions.”

Some Indian tech companies, recognizing that innovation is increasingly occurring outside their walls, have remade themselves into venture capital firms. Case in point: Info Edge and Persistent Systems. If the key to Big Bang Disruption is to run a large number of small experiments, then their strategy of making small investments into teething companies might allow them to drive the disruption rather than become victims of it. As the era of “big iron” gives way to on-demand-computing, my money would be on these two to overtake the present-day incumbents in the Indian IT space.

[stockquote]NAUKRI[/stockquote] [stockquote]PERSISTENT[/stockquote]

 

Institutional Investing Trends

Last year has been a wonderful year to go elephant hunting. Banks were hurting and buried under bad debt, FIIs were selling Indian debt on the back of a collapsing Rupee, this pretty much made domestic bond funds the lender of last resort. Supply, combined with the fact that commissions on selling debt funds are way more lucrative than those on equity, lead to a DII (Domestic Institutional Investor) debt binge.

DII Fund Flows (Cash)

dii cash

FII Fund flows (Cash)

FIIs were in full on panic mode in June, July and August last year. But haven’t really participated in the equity markets this year.

fii cash

DII Fund Flows (Derivatives)

After being short net short in December and Jan, are we seeing a change of heart?

dii derivative

FII Fund Flows (Derivatives)

FII participation remains low. Waiting for elections?

fii derivative

FII Favorites

J&KBANK +26.43%
TATAMTRDVR +19.96%
TECHM +18.30%
DEN +17.51%
NHPC +17.26%
UPL +13.05%
HDIL -36.60%
HEXAWARE -23.00%
AMTEKAUTO -19.25%
SINTEX -12.81%
IVRCLINFRA -12.65%
WELCORP -12.1%

Mutual fund trends

Equity mutual funds’ actions over the last 4 months:

Note:

  • All figures in Rs. crores
  • Data from SEBI, fund portfolio disclosures and corporate filings
  • Only open ended funds that were in the “accumulation” phase were considered
  • Funds named “growth” and with the “direct” option alone were considered
Related

The Facebook National Bank

Amid all the hoopla surrounding Facebook’s acquisition of Whatsapp, this gem of a news item didn’t get the attention it deserved:

BBVA buys banking start-up Simple for $117M

Founded in 2009, based in Portland, and having opened its (online) doors in July 2012, Simple just crossed the 100K customer mark – it has no physical branches and does not offer paper checkbooks. It has no fees and offers customers slick apps with which they can monitor spending activities. The bank’s main revenue stream is from intercharge fees from debit card usage. (SA)

The thought process for this deal was outlined in FT by the CEO of BBVA back in December thus:

Some bankers and analysts think that Google, Facebook, Amazon or the like will not fully enter a highly regulated, low-margin business such as banking. I disagree. What is more, I think banks that are not prepared for such new competitors face certain death.

 

The competitive response is believed to be rooted in big-data:

Yet while this is disconcerting for banks, the good news is that we still have one significant advantage, which is the vast array of financial and non-financial data that we accumulate. This information reveals a lot about habits, tastes, needs and aspirations. Banks need to turn it into knowledge and use that knowledge to provide users with exactly what they want, precisely how and when they need it.

 

The fact of the matter is that this disruption is already under way. China’s Alibaba became a $16 billion lender in less than three years, and China’s largest seller of money market funds in only seven months. Accenture estimates that competition from non-banks could erode one-third of traditional bank revenues by 2020. (HBR)

The risk for banks is that new competitors will consign them to a limited role as back-office utilities.

The competitive landscape

Payments: PayPal, Square and Stripe.
Retail: nearly one-third of domestic Starbucks revenues are paid through its own loyalty cards.
Debit card: Google Wallet. Walmart’s prepaid card that functions like a debit account captured more than a million customers in less than a year.
Checking account: T-Mobile launched a new checking service with a smartphone app and ATM card.

The competitive response

As non-banks stake claim to traditional banking functions, will banks move in to the retail turf?

Coupons: Garanti, one of Turkey’s largest banks, offers a free mobile app that gives customers personalized offers and advice based on their location and past spending.
Loyalty: Bank of America analyzes transaction data to give customers cash back on transactions at frequently used merchants.
Information: BBVA has long made available to its US customers information on the actual selling price of cars (as opposed to list prices)

The Indian scenario

An FT article back in November had this to say:

The RBI also plans to grant more regular licences for a broader range of financial institutions, providing what Mr Rajan described as a “substantial change” to bank structures.

“We could have wholesale banks, we could have mobile [phone] companies doing some banking activities, within certain constraints. We could have small banks, which we currently don’t allow, and we could allow co-operative banks,” Mr Rajan said.

Connecting the dots, I think its time we have a VC funded online-only bank – aka, The Facebook National Bank.