India's economy grew last quarter at the slowest pace since 2006, signaling the central bank may soon end three years of inflation-fighting rate increases.
Asia's third-largest economy expanded 8.9 percent in the three months to Sept. 30 from a year earlier after a 9.3 percent increase in the previous quarter, the statistics office said today in New Delhi. Analysts expected an 8.7 percent gain.
Slower growth may not deter Cisco Systems Inc., Holcim Ltd. and other companies from investing in India, still the world's second-fastest-growing economy after China. Prime Minister Manmohan Singh's government is due next week to consider plans to further relax foreign-investment rules, as part of efforts to improve the nation's congested airports and dilapidated roads.
Removing bottlenecks is central for India's growth to continue, said Maya Bhandari, an economist at Lombard Street Research Ltd. in London. India is growing at its potential, its macro fundamentals are solid and you have a situation where companies will put more money there.
The Reserve Bank of India expects growth in the year to March to ease to 8.5 percent after it raised interest rates nine times since 2004 to curb consumer-price gains. Inflation was 3.01 percent in the week ending Nov. 10.
Manufacturing gained 8.6 percent last quarter from a year earlier, easing from a previous increase of 11.9 percent. Electricity output slowed to 7.3 percent from 8.3 percent, while farming rose 3.6 percent after a 3.8 percent gain in the quarter ended June 30.
Cars, Motorbikes
Higher interest rates have curbed demand for cars and motorbikes, prompting Tata Motors Ltd. and Hero Honda Motors Ltd. to delay opening new factories and cut output. Demand for paper may wane from next year, said Gautam Thapar, chairman of Ballarpur Industries Ltd., India's biggest maker of writing and printing paper.
Still, economic expansion in this financial year almost matches the average 8.6 percent growth from 2003, the quickest pace in the Asian nation's history since independence in 1947. That's boosting profits for companies doing business in India.
South Africa's Richards Bay Coal Terminal, the world's biggest coal-export facility, expects a 30-fold surge in sales to India this year. Holcim Ltd., the world's second-largest cement maker, said this month that its third-quarter profit rose 28 percent as plants in India and China ran at full capacity.
Credit Crunch
This trend will continue because of all the work on infrastructure, said Jerome Lombardi, a business development manager at Holcim Group Support (S) Pte Ltd. in Singapore. When there is a global crisis we would rely on countries like India and China to sustain our growth.
With exports accounting for only 23 percent of India's $906 billion economy, Lehman Brothers Inc. expects the South Asian nation to be immune to a deceleration in world growth sparked by mortgage defaults in the U.S.
The International Monetary Fund last month cut its projection for global growth next year to 4.8 percent from an estimate of 5.2 percent in July and warned that even its new prediction may be too optimistic given threats posed by the sell-off in credit markets.
India's pace of growth is almost three times the economic expansion in the U.S. and countries that share the euro, and falls only behind China's 11.5 percent gain last quarter among the world's top 15 economies.
Foreign Investment
Global producers of cement, steel, aluminum, copper and other products are benefiting from an unprecedented drive by India to modernize and expand roads, ports and other infrastructure. Singh's government aims to attract $500 billion by 2012 in India's infrastructure.
The government will next week consider easing foreign investment rules in aircraft maintenance companies, petroleum marketing firms and commodity exchanges, the Economic Times reported. Since assuming office in May 2004, the government has relaxed foreign investments in telecommunications and single- brand retail outlets.
Demand in India is also being bolstered by new jobs created by companies such as Cisco Systems and Mahindra & Mahindra Ltd., which are expanding to benefit from local consumer spending.
Cisco, the world's largest maker of computer-networking equipment, plans to triple its workforce in India to 10,000 people by 2010, Chief Executive Officer John Chambers said last month. Cisco, International Business Machines Corp. and others are recruiting more in India where pay scales are a fifth of those in western economies.
Less Red Tape
Mahindra, India's biggest sport-utility vehicle maker, plans to spend about $1 billion in the next four years to double automobile production.
The Indian economy has quadrupled in size since 1991, when the Oxford-educated Singh as the finance minister, introduced free-market measures that cut red tape and allowed foreign companies to set up operations locally. That's helped double per capita income in the last eight years.
India is very committed to reforms, said Stephen Roach, chairman of Morgan Stanley Asia Ltd. I like what I see in India. The Indian economy is really performing very impressively right now.
Stocks Site Search : |
Quarterly Results/Financial Ratios/Stock News
WidgetBucks - Trend Watch - WidgetBucks.com
Thursday, November 29, 2007
India's Economy Expands 8.9%, Slowest Pace This Year
Source - Bloomberg
Posted by Srivatsan at 11:46 PM
Labels: India Economy, India Growth
Subscribe to:
Post Comments (Atom)
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.
No comments:
Post a Comment