The offer by ABB Asea Brown Boveri and ABB (
Calculation:
Is there any arbitrage available or should one buy taking open offer into consideration?
ABB current price = Rs 826 e.g. 100 shares are bought.
Currently, ABB holds 52.11% and it has offered to buy 22.89% more which would take their stake to 75% in
So if one buys 100 shares, approximately 48 would go into open offer and he will get payout @ Rs 900 a share.
Net Profit on tendered shares = (Rs 900 - Rs 826) X 48 = Rs 74 X 48 = Rs 3,552.
Net Profit = 4.3% on total capital invested, decent returns for holding period of around 2.5 months!
What History Teaches Us:
Ranbaxy shareholders were given a similar open offer which was way above its market price at that time and it was at Rs 737 a share from Daiichi Sankyo of
Why Foreign Companies Give Open Offers?
They are investing in businesses and not at all interested in small short term gains, they think of 5-10 years in advance minimum and bet on future of the economy which a common retail investor doesn`t do.
In case of ABB, the open offer price looks really stretched as the company is already trading at a P/E multiple of 62 and at Rs 900 it would go beyond 67 which is not at all cheap by any stretch of imagination.
ABB has reported an average decline of 34.5% in profits for the past four quarters ended December 2009. The performance has taken a further sharp blow in the March 2010 quarter, with profits falling by 92%. The company`s financial performance has been disappointing mainly due to its exit from a key business segment, delays in some of the projects and fluctuation in input prices.
Company imports nearly 40% of its raw material requirement and is exposed to a large foreign exchange risk; it has to follow an active hedging policy which may be lacking so far. Recent rupee appreciation may hurt financials more.
The probability of giving shares in open offer may go down also as public holding currently stands at less than 15%, which means that the company would have to convince the institutional investors, who hold a total of around 33%, to respond to the offer.
Looking at company prospects in immediate future and history of similar open offer it looks wise to take profits at current market price or have small exposure as stock may fall after the event is over. Even an 8% drop from current levels would take the investor into losses if one buys from the viewpoint of open offer now. If parent doesn`t have intentions of de-listing,profit for the investor is not guaranteed by any open offer.
Monday, June 7, 2010
A Lesson In Open Offer – The ABB Example
Monday, March 29, 2010
IPL Model





Monday, February 22, 2010
The Golden Ratio
The three great bull markets of the Twentieth Century are dramatically reflected in a chart of the Dow/Gold ratio, which is simply the quotient of the Dow Jones Industrial Average divided by the gold price in US Dollars. It is basically the price of the leading index of paper claims on productive assets, divided by the dollar price of an ounce of gold.
When the ratio is high, as it is in a boom, equities are expensive and gold is cheap.
When the ratio is low, as it is in a bust, equities are cheap and gold is dear.
Today, the Dow/Gold ratio is at its highest level ever. We believe this signifies the financial world is on the cusp of a huge inflection point, similar to that of the two prior peaks.
Just as at those prior peaks, financial assets are grossly overvalued, and gold is grossly undervalued.
Just as those prior valuation extremes resolved themselves through dramatic reversals in both the numerator and the denominator of the Dow/Gold ratio, so will today’s, and soon.
The key to understanding the Dow/Gold ratio and what it portends lies in isolating the principal factors that affect the numerator (equity prices) and the denominator (the price of gold).
At every peak, we find the same phenomena:
- Overvaluation of equities
- Over-ownership of equities
- Excessive liquidity
- Excessive credit
At every trough, we find their opposites.
And at each extreme, we find a background of breakdown in the global monetary system:
- Collapse of gold exchange standard (1929 -1934)
- Collapse of Bretton Woods standard (1961 -1971)
- Collapse of floating rate standard (pending)
Friday, February 5, 2010
Earthquake Theory For Stock Market Movements
The reason that economists are uncomfortable with power laws is that “unlike the bell curve they are not based on any assumptions about how markets or people work. They are simply curves that fit the data”.
The Power Law
The power law cannot predict when catastrophes happen, but only how often they will occur. An earthquake that is twice as big will be four times as rare. The power law school of thought is not working on the timing problem as they are convinced that power law is not about predicting time, it is just a recurring pattern in nature, which is an unexplainable rule.
Something can’t be understood so it is better to focus on things at hand rather than interpreting the science behind the law of nature. Power law is believed to allow policy-makers to set regulations that better shore up the financial world against extreme events.
Time Decay In Earthquakes
Probability of a disastrous economic fluctuation seems to be fairly independent of time period. Time independence could be an illusion and an idea which could assist physicists to ignore time. Many scientists have talked about the same earthquake science but from a time dependence aspect. Seismologists are now talking about recurrent time and use elapsed time to calculate earthquake probabilities. Elapsed time is now believed to influence future earthquake events. There is an effort to understand seismic cycles and improve earthquake maps. The researchers say that time dependent models are intuitively appealing.
Though this is an idea in the right direction, it has ground to cover before the scientific community reaches time fractals. We have talked about time decay on prior occasions. This time we are illustrating the time decay in earthquakes. Haiti was in the top destructive earthquakes of all time and has been extensively studied by the US geological survey. We pulled out the minute by minute data from 23 January to 29 January and isolated the time between shocks across the region. The plotted chart was an exponential curve again, suggesting the time (number of days) between shocks was proportionally spread even when smaller time was studied. We get a similar plot when we study earthquake date from 1575 and similar time patterns are seen when we study nuclear tests or any other social and natural activity.
How can time exhibit the same exponential order when the order is believed to be everywhere else? We can either see fractals and patterns all around us, in everything, or accept that time is indeed what gives every living entity, anything which ages, this distinct pattern. Everything from earthquakes, to volcanoes, to cotton prices, to human behaviour and even to the Sun is patterned by time. “When” remains a more important aspect than how often can earthquakes repeat, a crisis occur, a stock rise, or an asset outperform. The focus on “when” can assist us more even if we don’t have a perfect answer. Time is perfect, our interpretation of it can never be.
We started the year attempting to time relative performance. We asked early January, if it was time for Grasim to outperform Nifty? Grasim was at the bottom of numeric rankings on 29 December 2009 and now it is at the top of list. What does this mean? This means that end of December Grasim was ready to outperform Nifty and it did. Long Grasim, short Nifty delivered 13 per cent in January. Now that Grasim has hit a top in rankings, a performance reversal should not be far away, when it starts to underperform Nifty.
The anticipated breakdown we have been talking on markets also happened. Metals, small cap and capital goods are ready to underperform the market. Tata Motors and M&M also seem overstretched in performance and should not sustain outperformance against Nifty for long. HDFC’s performance cycles continue to suggest that there is more catch up for the stock against Nifty; the stock should outperform the benchmark. If everything is cyclical like time suggests, research solutions of tomorrow might just simplify things.
via the smart investor