My Take on Investing and Life
Nothing but mumbo-jumbo. Makes enough sense that it is easy to fall prey for it - the lure of fast money, after all, is too much for most people. I myself have tried it and failed miserably. I learned my lesson. I think if you live by TA, then you will die by TA. TA is an art, rather than a skill. Most people cannot expect to make any money using TA. See A Tale of the Speculator and Technical Analysis for more.
On gambling:
I don't gamble in the stock market. Nor do I play the lottery. Taking some calculated risks in the market is not the same as gambling. I'm primarily a long-term investor with an investment horizon of 10 years or more. I won't be jumping off a bridge if the market drops 30% tomorrow!
On volatility:
I love market volatility. I think most people misuse that word; they use it without even understanding what it means. They think volatility is bad. In fact, volatility is what gives me the opportunity to make money in the stock market. Whether I actually exploit those opportunities is another story! One of my New Year's resolution is to have more courage to open doors when investment opportunities knock. I think I'm on the right track.
On Modern Portfolio Theory:
Not everything needs to be "measured" or "quantified". Security analysts these days are obsessed with measuring everything from risk to volatility. Standard deviation and variance are standard measures of risk, and volatility can be measured by beta. Small investors cannot be expected to know how to calculate these things and are therefore easy to entice to seek professional help. Nor can anyone expect small investors to know how to construct a portfolio in which the correlation of any pairs of securities is close to zero (this is one of the definitions of a "diversified portfolio"). The calculations involved here are indeed mind-boggling! I don't think one needs to know these calculations to make money in the market. The impression given to a small investor is that you cannot do it alone. I disagree. I think in most cases you can do better alone. In fact, I think you are better off not knowing these things!
On EBIT and EBITDA:
Analysts pay too much attention to useless numbers like EBIT (Earnings Before Interest and Taxes) and EBITDA (Earnings Before Interest Taxes Depreciation and Amortization). The problem with these numbers is that interest and taxes are "real" expenses that we cannot simply ignore. What is the purpose of excluding interest and taxes from earnings when both have to be paid? As far as non-cash expenses like depreciation are concerned, they too are very real. You will find out exactly what depreciation is if you buy a car today and sell it tomorrow, or if you've ever had to do repairs/maintenance on your home. Depreciation accounts for these expenses.
On analyst ratings and recommendations:
Analysts are constantly upgrading and downgrading stocks. They have to do this to justify their existence. Frankly speaking, I don't think it is possible to make money listening to analyst recommendations. Many times I have seen analysts upgrading a stock when it has hit a 52-week high or even an all-time high, and downgrading a stock when it has been beaten down by too much pessimism. Not that they're always wrong, but they're wrong enough times to blur the distinction between a professional and an amateur. Generally speaking, I tend to pay more attention to their research on a company (which can be insightful) than their rating or recommendation.
On EPS:
Assuming all else is equal, is a company that earns $5.00/share a better value than a company that earns $2.50/share? Yes. What about a company that earns -$5.00/share compared to one that earns -$2.50/share? Which one is a better value? It is not necessarily the company that earns -$2.50/share. An understanding of how EPS is calculated will clarify why this is so. EPS is calculated by dividing net income by the number of shares outstanding. The fewer shares a company has outstanding the more income is attributed to each share (and therefore, each shareholder). This means that if a company has a large loss, then it can make its loss appear smaller, in EPS terms, by simply issuing more shares, which is bad for existing shareholders. This is why a negative EPS is not always very meaningful.
On charity:
If I donate, I want to donate because I want to. If I volunteer, I want to volunteer without expecting anything in return. It's sad to see some people who volunteer because they want a prestigious 'certificate of recognition'. Donating a suitcase full of clothes from Canada to a remote mountain village in India is probably the best thing I have ever done in my life. I think I was inspired by Dr. Prakash Amte (son of late Baba Amte).
On mountains:
Why do I love the mountains so much? They give me immeasurable peace of mind and happiness. There's a certain excitement in hearing and watching a bird swoosh past you. Watching an everyday phenomenon - a sunset - is a much-anticipated event and a real treat for the eyes. Every time I'm there, I say to myself, "what a wonderful world!"
Besides that, I have learned so many things about myself because of mountaineering - that I have an incredible amount of energy and will power. Now I just hope to harvest some of that energy and will power for other things.
My life ain't promised but it'll sure get better... until then, you'll find me in a cubicle!
Balance Sheet Analysis: A Better Approach to Investing
A key difference between Technical Analysis and Balance Sheet analysis is that the former uses the past performance of the share price to determine whether a company will make a good investment and the latter uses the past performance of the company itself.
Personally, I believe Balance Sheet analysis is better since it allows us to base our decisions on facts about the company. The past performance of a company’s shares does not necessarily reflect the true value of the company. It is obvious that a company's true "worth" does not change as frequently or dramatically as its share price. Therefore, it is important to get a rough estimate of a company's worth so that you can invest in it when its share price is attractive. This way you will not be buying simply because the shares are rising as is the case with using Technical Analysis.
Even though most people realize the importance of researching a company before making an investment, they either find it too time consuming or simply do not want to be bothered to look at a company's financial statements. They, therefore, depend on friends and family for investment advice. The advice usually amounts to "tips" on what is currently "hot" and a "must-buy" and as a bonus, the so-called "advisor" usually throws in a short-term prophecy on the stock market! All of these are recipe for an investment-related disaster.
The biggest problem people have is figuring out what companies to invest their hard-earned money in. Even with the Internet making available all information about a company right at your finger tips, it is still very time consuming to gather information on all companies and then investing in the most promising and "undervalued" ones. With thousands of companies listed on stock exchanges, it is no wonder that this is true.
After trying my luck with short-term trading, Technical Analysis and taking "tips" from others, I have realized that none of these things work over the long-term. Over the years, I have found that it is best to invest in companies that have the most "healthy" balance sheets - i.e. low debt and a high Net Tangible Asset value. But, another challenge is to find companies with the healthiest balance sheets amongst thousands of listed companies.
To make it easier for me to invest, I have setup Excel spreadsheets that contain all securities listed on the Toronto Stock Exchange, New York Stock Exchange, NASDAQ and American Stock Exchange - "Stock Guides".
Using JAVA programs that I wrote, I was able to extract the latest share prices, EPS and dividend information, balance sheet data (current assets, intangible assets, debt and more), from various web sites. These programs can be run as frequently as desired.
The JAVA programs are fed an input file containing "symbols" of all the listed companies or even a custom made list. The program feeds each symbol to a predefined web site (e.g. http://quotes.nasdaq.com/) that contains the necessary information and extracts the required data by analyzing the html file. The output of the programs is stored in text files. The data in the text files can then simply be copied onto the "stock guide" - i.e. Excel spreadsheet.

The idea is to use various filters in the spreadsheet that will narrow down the list of potential investments based on balance sheet data. For example, you may want to eliminate all companies that are carrying a debt that is larger than their Net Tangible Assets. The filters are based on two of Benjamin Graham's books, The Intelligent Investor and Security Analysis. This way I can make decisions based on facts and figures rather than simply relying on tips and advice ... or worse - Technical Analysis!
I use the Stock Guides to narrow down the list of possible investments in a logical manner. Once a list of potential investments is generated, it is still necessary to double-check the data on the spreadsheet and to look at the original financial statements from at least the previous five years.
Below are all the fields in the Stock Guide sorted according to the category under which they belong:
Stock Market Data
Symbol: Stock Exchange symbol.Price: Last business day's closing price.
EPS: Rolling twelve-months earnings per diluted common share.
Dividend: Dividend per common share.
Shares Outstanding: Outstanding common shares.
Market Value: Price × Shares Outstanding.
Balance Sheet Data
Date As Of: Balance sheet data as at this date.
Cash & Equiv: Cash assets on balance sheet.
Inventories: Inventories on balance sheet.
Current Assets: Total current assets (i.e. cash, receivables, inventories etc).
Intangibles: Total Intangible assets (eg. goodwill) on balance sheet.
Total Assets: Total assets on balance sheet.
Current Liab: Total current liabilities on balance sheet.
Total Debt: Short-term debt + long-term debt.
Total Liab: Total liabilities on balance sheet.
Asset Values
Net Cash Assets (NCA): Cash & Equivalent – Total Liabilities.
Net Current Assets (Liquidation Value): Current Assets – Total Liabilities.
Net Tangible Assets (NTA/Book Value): Total Assets – Intangibles – Total Liabilities.
Ratio of Current Price to _ _ _
NCA: Ratio of current price to Net Cash (& Equivalent) Assets.
LQV: Ratio of current price to Net Current Assets (or Liquidation Value).
NTA: Ratio of current price to Net Tangible Assets (NTA/Book Value).
Value Ratios
P/E: Price ÷ Earnings Per Share.
E/P Yield: "Earning power on price", Earnings ÷ Price × 100.
Div. Yield: Dividend per share ÷ Price × 100.Erngs/NTA: Earnings ÷ Net Tangible Assets × 100.
CA/CL: Current Assets ÷ Current Liabilities.
NCA/Debt: Net Current Assets ÷ Total Debt.
Note: Net Current Assets = Current Assets – Current Liabilities.
Price Filters
P ≥ x: Yes if price is greater than or equal to x. Otherwise No.
P ≤ x: Yes if price is less than or equal to x. Otherwise No.
P ≤ x% of LQV: Yes if price is less than or equal to x% of the Liquidation Value. Otherwise No.
P ≤ x% of NTA: Yes if price is less than or equal to x% of Net Tangible Assets. Otherwise No.
Value Filters
P/E ≤ x: Yes if the price to earnings ratio is less than or equal to x. Otherwise No.
CA ≥ x × CL: Yes if Current Assets are greater than or equal to x times Current Liabilities. Otherwise No.
Debt < x% of NCA: Yes if Total Debt is less than x% of Net Current Assets (NCA). Otherwise No.
Note: Net Current Assets = Current Assets – Current Liabilities. This filter should only be used for Industrial companies.
Debt < NTA: Yes if Total Debt is less than Net Tangible Assets (NTA). Otherwise No.
Some Current Dividend: Yes if Dividend is greater than zero. Otherwise No.
P:NTA × P/E ≤ x: Yes if the ratio of current price to Net Tangible Assets (NTA) multiplied by the price to earnings ratio is less than or equal to x. Otherwise No.
Note: x = 22½ accepts a company trading at 1½ times book value and a P/E of 15.
Other Filters
Mkt Cap ≥ x: Yes if market capitalization is greater than or equal to x. Otherwise No.
Mkt Cap ≤ x: Yes if market capitalization is less than or equal to x. Otherwise No.
Trust or Fund: Yes if company is a Income or Business or any other trust or fund. Otherwise No.
Tags: Balance Sheet Analysis
A Tale of the Speculator and Technical Analysis

The Indian stock market is a classic example of what happens when speculation reaches its boiling point. After reaching an all-time high in May 2006, Bombay Stock Exchange's Sensex Index has fallen close to 30% in a month.
Neither the market nor the future can be predicted or controlled by the speculator, yet success is largely dependent upon them both.
To help make sense of the seemingly random behaviour of the stock market in the short-term, the speculator uses Technical Analysis. Technical Analysis gives a speculator the tools to "analyze" and "predict" the stock market - usually using trend lines, moving averages and other sophisticated statistical indicators.
Technical Analysis is popular with speculators because it is meant for people who want to make fast money. Unfortunately, like all things that are too good to be true, it does not work for the average person. But the lure of fast money (and a bull market!) is too strong for most to give up Technical Analysis.
Since mathematics and statistics is used in Technical Analysis, it appears as if the actions of the speculator are legitimate - after all, mathematics can't be wrong! Besides, what is wrong with using Technical Analysis to help you decide when to buy, when to hold and when to sell?People also talk about meaningless "support levels" for individual stocks and market indices, below which all hell can break loose. Support levels, trend lines etc. are akin to lines on our palm that supposedly tell our future! These are all very interesting things but not very useful if one wants to make money in the stock market over the long-term (10 years or more).
There are a few fundamental problems with Technical Analysis that need to be brought to people's attention:
1. The speculator has no margin of safety. Since a proper margin of safety is lacking, the risk taken is often too high.
In Technical Analysis, there is no such thing as buying "undervalued" or "underpriced" securities. Technical indicators generate 'buy' and 'sell' signals. In a significant number of cases, a 'buy' signal is not generated until after a significant rise in the stock price - thus, a speculator misses some truly "golden opportunities". The idea is that a speculator is willing to give up some upside in return for little or no downside.
Speculators are in the market to make fast money. Generally speaking, speculators do not buy shares based on the company fundamentals (like profitability, debt load, book value etc.) or valuation, they instead buy shares based on technical indicators.
This means that the price paid is irrelevant as long as the technicals are good. For this reason alone Technical Analysis is dangerous because one could end up buying when the market is overheated.
2. Technical Analysis is an art/skill, rather than a science.
It cannot be learned from a book. Either you have the skill and intuition to be a successful technical analyst, or you don't. Being "average" at this will not make you rich and may yield disastrous results.
In the long run, most speculators end up making little or no money at all, or worse yet, losing money! In most cases, their few large speculative profits are fully offset by the many small losses.
3. Technical Analysis favours stockbrokers.
Brokerage houses and stockbrokers encourage using technical analysis because it is good for their business. Speculators buying and selling using technical indicators will be doing so often simply because these indicators are generated as the share price rises and falls.
Frequent trades mean more commissions for brokers and lower profits for speculators. Technical Analysis discourages long-term perspective and forces speculators to buy and sell on a weekly and even daily basis.
As a matter of fact, in Canada, the broker charges a "maintenance fee" on an account in which there has been no trading activity in the past twelve months! It's obvious they do not want us to simply buy and hold stocks - which is an intelligent way of building wealth.
Technical Analysis is good if one desires to become a sheep in the stock market - i.e. buying when everyone is buying and selling when everyone is selling. It sure is a great way of obtaining mediocre returns!
So, what should an investor with a long time horizon use to buy stocks? Balance Sheet analysis (i.e. value investing) ofcourse! Read more here.



