Tata Steel is looking for raw material security at a frenetic pace and the world’s sixth largest steelmaker is now eyeing the Western Cluster Iron Ore deposits in Liberia, for which a bid has already been submitted.
The Western Cluster consists of several deposits spread over 207.58 sq km and the investment is likely to be around $1.5 billion.
When asked, a Tata Steel spokesperson refused to comment and said that the company was looking at all opportunities globally in the area of resource security for the group.
Other companies have also evinced interest in these deposits and Tata Steel has responded to a bid put out by the Liberian government. Tata Steel is one of the shortlisted bidders and the only company from India.
The Western Cluster comprises the Mano River Iron Ore, The Western Position of Bomi Hills Iron Ore Deposits and the Mountain Iron Ore Deposits.
Recently, Tata Steel signed a joint venture agreement with Sodemi (a state-owned Ivory Coast mineral development company) for development of Mount Nimba Iron Ore deposits. Liberia is also on the west coast of Africa.
The Mount Nimba initiative was the first iron ore venture outside India for Tata Steel and the investment in the project by the joint venture company, where Tata Steel holds 75 per cent, could be around $1-1.5 billion in 3-4 years. The company has set a target of achieving raw material security of 50-60 per cent in the next 5-6 years.
Currently, the company’s iron ore security with Corus is 20 per cent, while on a standalone basis, Tata Steel has a 100 per cent security.
Industry analysts said galloping raw material prices were propelling steel companies to run for security cover.
Iron ore prices might jump as much as 50 per cent in 2008. Contract prices for iron ore have tripled in the past five years, and back home, allocation of captive mines has become a time-consuming exercise.
The Tata group consists of Corus and Tata Steel (including Tata Steel Thailand and NatSteel Asia) and the captive iron ore resources would help in bringing down the cost of production at the Corus facilities. Corus requires 28-30 million tonnes of iron ore per annum.
Earlier this month, Tata Steel signed a joint venture agreement with Australia’s Riversdale Mining to set up a special purpose vehicle to develop a hard coking coal and thermal coal project at Riversdale’s key exploration tenements in Mozambique.
On the coal front, Tata Steel has a security of around 15 per cent from a standalone of 60 per cent security.
Understanding Short Term Trading
Before I begin, this blog is not for intraday traders. My definition of short term implies duration of around 2 to 3 months.
Short Term stock picking is no rocket science, but rather a visual interpretation of technical charts. A basic moving average on a time frame chart will show the direction of the securities movement.
Moving averages is a mathematical results calculated by averaging a number of past data points. Moving averages (MA) in it's basic form is calculated by taking the arithmetic mean of a given set of values on a rolling window of timeframe. Once the value of MA has been calculated, they are plotted onto a chart and then connected to create a moving average line. Typical moving averages used for short term trading are 50 MA and 100 MA.
Types of Moving Averages
1) Simple Moving Average (SMA)
SMA is calculated by taking the arithmetic mean of a given set of values on a rolling window of timeframe. The usefulness of the SMA is limited because each point in the data series is weighted the same, regardless of where it occurs in the sequence. Critics argue that the most recent data is more significant than the older data and should have a greater influence on the final result.
2) Exponential Moving Average (EMA)
EMA overcomes the limits of SMA, where more weight is given to the recent prices in an attempt to make it more responsive to new information. When calculating the first point of the EMA, we may notice that there is no value available to use as the previous EMA. This small problem can be solved by starting the calculation with a simple moving average and continuing on with calculating the EMA.
The primary functions of a moving average is to identify trends and reversals, measure the strength of an asset's momentum and determine potential areas where an asset will find support or resistance. Moving averages are lagging indicator, which means they do not predict new trend, but confirm trends once they have been established.
A stock is deemed to be in an uptrend when the price is above a moving average and the average is sloping upward. Conversely, a trader will use a price below a downward sloping average to confirm a downtrend. Many traders will only consider holding a long position in an asset when the price is trading above a moving average.
In general, short-term momentum can be gauged by looking at moving averages that focus on time periods of 50 days or less. Looking at moving averages that are created with a period of 50 to 100 days is generally regarded as a good measure of medium-term momentum. Finally, any moving average that uses 100 days or more in the calculation can be used as a measure of long-term momentum.
Support, resistence and stoploss can be infered by referring the closet MA below or above the market price. The other factor that is used in short term momentum is the trading volume. The moving averages along with the trading volume can provide a better insight to short term movement.
Markets are moved by their largest participants - I believe this is the single most important principle in short-term trading. Accordingly, I track the presence of large traders by determining how much volume is in the market and how that compares to average. Because volume correlates very highly with volatility, the market's relative volume helps you determine the amount of movement likely at any given time frame--and it helps you handicap the odds of trending vs. remaining slow and range bound.
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