India’s leading auto component makers are making a quiet move. As many as over 20 Indian auto component makers, which include big boys such as Talbros, Ashahi Glass, ZF Steering Wheels, GNA Axles, Luxite and Sundaram Brake Linings, are winging their way to China this week to see the possibility of setting up manufacturing plants in the country.
And they are looking at supplying their products not to Chinese companies but global auto makers ranging from BWW, Mercedes, General Motors, Ford amongst others. These global majors have been outsouring from Indian manufacturers and are aware of their reliable quality.
With Indian auto ancillaries supplying high-quality components to almost every multinational auto majors in the world, moving into China help them leverage this privileged relationship with the same players in China.
“The main reason for foreign companies to set up plants in China is to take advantage of the large Chinese market,” says Suresh Krishna, MD, Sundram Fasteners, the first Indian auto parts company to foray into China four years ago.
“In fact, we started the plant for exports from China in the first phase. In the second phase, we have now started supplying to MNCs in China. In the third phase, we will be covering the Chinese auto companies,” adds Krishna.
Others have also taken their first tentative steps in this direction. Bharat Forge (BFL) acquired a 52 per cent stake in China’s largest foundry unit, FAW Corporation, to become FAW Bharat Forge (Changchun) Co.
The JV has catapulted BFL to become the largest player in forgings & castings in China. And just a few weeks earlier, Tata Autocomp GY Batteries (TGY), a 50:50 JV between Tata Autocomp Systems (Taco) and GS Yuasa International (GYIN) announced plans to set up a manufacturing facility in Nanjing, to be operational in the next 3 months.
Of course, there is a cautious optimism about entering China. Says Arvind Dham, managing director of Amtek Auto, “We will surely go to China by 2010. At the moment, our first stop is Eastern Europe which is also a growing market. We have narrowed down on Rumania. China is an interesting market but not that easy to enter.”
The Chinese domestic auto industry is the fastest growing auto market in the world overtaking the United States’ auto industry. “To tap the Chinese auto industry, one has to be present in China,” explains Vishnu Mathur, executive director, Automotive Component Manufacturers Association of India (ACMA).
The reason: to encourage domestic production of components, the Chinese government stipulates that a vehicle with more than 40 per cent localisation will attract the MFN general duty of between 8 and 12 per cent. Else they attract as much as 25 per cent duty.
Another big attraction is the cost of doing business which directly related to the taxation structure. “It’s 25 per cent cheaper to manufacture goods in China than in India,” explains Mathur.
“While the Chinese have a GST, India has cascading taxes like octroi and special taxes that are yet to abolished. These add to the costs,” adds Mathur.
India has a roadmap for a common GST to be realised by 2010.
Apart from reliable infrastructure such as power, a managed yuan that makes exports competitive and a flexible hire & fire labour policy, China also has a huge stockpile of commodities available at competitive rates to companies operating in China.
“With their high export duty on commodities, raw material such as iron ore is in surplus,” said one industry observer.
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Saturday, March 8, 2008
Auto part makers in China rush
Posted by Srivatsan at 1:22 PM
Labels: Auto Component, India Automobile Sector
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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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