The combine had earlier won two blocks in Nigeria
Steel baron Lakshmi N Mittal’s joint venture with ONGC Videsh (OVL) has won an exploration block with estimated gas reserves of two trillion cubic feet (tcf) in Trinidad and Tobago.
ONGC-Mittal Energy beat UK’s Centrica to bag the offshore block, a company official said.
OMEL, the 51:49 joint venture between Mittal Energy and the overseas investment arm of state-run Oil and Natural Gas Corp (ONGC), made a revised financial commitment of about $204 million to win the block.
In January 2006, Trinidad and Tobago offered eight onshore and three shallow marine blocks for bidding. OMEL made an initial bid of about $175 million, including signature bonus. It later emerged that Centrica and a consortium led by BG of the UK had also submitted bids for the block.
“OMEL was informed that there was a tie in the bids of OMEL and Centrica, and OMEL was asked to submit a revised bid,” the official said.
The bid parameters were reviewed by OVL and OMEL in consultation with technical advisors and a revised bid for the block with increase in the minimum financial exposure to OMEL from about $175 million to about $204 million was submitted.
The Trinidad and Tobago government has informed that OMEL’s revised bid had been successful and it had invited the company to negotiate the production sharing contract for the block.
The official said though it was earlier decided that a part of the equity would be shared with other Indian companies considering the level of investment and risk involved, OMEL decided not to farm-out any equity at this stage.
“OMEL will hold 100 per cent participating interest in the block.”
This is OMEL’s second biggest success after Nigeria where it had acquired two exploration blocks.
Mittal had inked a joint venture agreement with ONGC Videsh in July 2005 for acquisition of oil and gas fields, refinery business and LNG projects in 27 countries.
The July 2005 agreement had classified target countries into Schedule-I and II. Mittal and ONGC had agreed to participate on an exclusive basis through OMEL in Schedule-I countries such as Angola, Azerbaijan, Indonesia, Kazakhstan, Romania, Trinidad and Tobago, Turkmenistan and Uzbekistan.
In Schedule-II, the partners agreed to bid jointly on a case-to-case basis in Bosnia, Canada, China, Czech Republic, France, Germany, Kyrgyzstan, Liberia, Sudan, Macedonia, Mexico, Nigeria, Poland, South Africa, the UK and the US.
“OMEL is looking for various opportunities in Kazakhstan, Turkeministan, Azerbaijan, Indonesia, which are at different stages of progress,” the official said.
Since incorporation, OMEL has been awarded two prosperous blocks in Nigeria – OPL-279 and OPL-285, the production sharing contracts of which are expected to be signed shortly.
OMEL is also in the process of being awarded another exploration block in Nigeria (OPL-246).
OVL’s subsidiary, ONGC Nile Ganga BV acquired interest in a producing property in Syria along with China National Petroleum Corp, a part of which is held by OMEL. OMEL also recently bagged a block in Turkmenistan.
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Wednesday, December 26, 2007
ONGC-Mittal JV bags block in Trinidad
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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.
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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