Exchange rates provide weak investor signals

Anand Kalyanaraman

Any sharp movement in the rupee's exchange rate has inevitably stirred up a hornet's nest in the stock market and corporate circles. Instances which come to mind include the sharp appreciation of the Indian rupee (INR) vis-à-vis the US dollar (USD) during fiscals 2006-07 and 2007-08, when the INR reached its high point since 2000 (around Rs 39 a dollar).

This spike saw India's export-oriented sectors (especially the media-savvy software sector) cry hoarse over dilution of export competitiveness and make high-decibel appeals for government intervention. When the tide turned in fiscal 2008- 09 and the INR began depreciating sharply against the USD and touched its nadir at around Rs 52 to a dollar, import-oriented sectors were perceived to be in trouble.

But are the fortunes of export- and import-oriented companies inexorably linked to movement in foreign exchange rates? Should investors attach much importance to forex movements for companies dependent on foreign trade? We tried to find out, using a limited but representative sample set. The results threw up quite a few surprises.

Counter-intuitive

Ceteris paribus (all other things being equal), export-oriented firms should have taken a hit, seeing their sales, net profit and market cap decline in 2007 and 2008 when the rupee was strengthening, while they should have gained in 2009 when the rupee weakened.

Conversely, import-oriented firms should have been at the wrong end of the stick in 2009, but should have done well in 2007 and 2008. The findings did not conclusively prove either of these trends.

This is particularly so in the case of the poster boy of export-oriented sectors — software. The BSE IT Index (based on market capitalisation of major Indian software companies) rose almost 22 per cent year-on-year in fiscal 2007, at a time when the INR strengthened nearly 3 per cent against the USD. Financial metrics (net sales and net profit) of this group also grew strongly in 2007, again contrary to expectation.

However, in 2008, movement in both market capitalisation (down around 28 per cent) and financial metrics (slower growth) was in line with what was expected from the movement of the rupee (up a sharp 8 per cent). For instance, Wipro's 2008 sales and profit growth was lower than in 2007, and its market cap declined almost 22 per cent in 2008, as against 1.2 per cent growth in 2007. This seemed to suggest that a sustained, sharp movement in the rupee (as seen in 2008) does make the needle move.

However, this relationship broke down in 2009, when despite an almost 26 per cent weakening of the rupee, market capitalisation of the BSE IT Index instead of increasing dipped 36 per cent, and financial metrics also grew only tepidly. Continuing with Wipro's example, its market cap declined almost 43 per cent in 2009, sales growth was lower than in 2008 and profits declined 3 per cent.

An examination of market capitalisation and financial metric movements in companies in other export-oriented sectors (garments and textiles, and diamonds, gems and jewellery) also shows similar results. Company performance did not unduly depend on how exchange rates moved.

For example, garments exporter, Gokaldas Exports, while registering tepid single-digit growth in sales and forex revenue earnings in 2009 saw profits and market cap fall sharply (around 93 per cent and 58 per cent respectively).

Companies in import-oriented sectors such as IT hardware and peripherals, and fertilisers, did in fact exhibit a greater sensitivity to exchange rate movements than export-oriented companies. In an appreciating rupee regime, there were more cases of import-oriented firms showing decline in foreign exchange spend and increase in profits and market-capitalisation.

Similarly, a depreciating rupee saw more cases of importers incur higher foreign exchange expense, while their profits and market capitalisation decreased. For example, computer-peripherals maker Redington India saw its profit growth and market cap decline in 2009.

However, despite having a better score than export-oriented firms, importers also don't always display the expected behaviour in case of sharp exchange rate movements. Fertiliser maker, GSFC, for instance, saw its profits and market cap decline despite an appreciating rupee regime in 2008.

Bigger forces at play

The above suggests the presence of many other factors that impact their numbers, through forces bigger and stronger than forex movements and that the ceteris paribus assumption may be misplaced. Exchange rate is but one among several variables influencing movements of stock prices and profits for companies with a forex exposure.

Other key variables include the state of the global economy, demand and supply dynamics and elasticities, and the ever-fickle market sentiment. All these factors have the potential to overwhelm theoretically linear dynamics between exchange rates, and financial metrics and market capitalisation.

For instance, during the buoyant days prior to the recession when the global economy was growing at a reasonable clip, an appreciating rupee could not make a major dent on the prospects of export-oriented firms as a whole. Likewise, with the onset and steady deepening of the recession in 2009, strong depreciation of the rupee could also not cushion exporters from the negative impact of demand destruction and credit freeze in the developed economies.

Also, presence of hedges against forex movements, whether through forward/futures contracts, or through natural hedges in the form of forex expenses for exporters, and forex incomes for importers, could distort linear relationship, if any.

For example, forex expenses of software firms in the CNX 500 universe are around 40 per cent of their forex revenues. On the other hand, forex incomes of IT hardware firms account for around 40 per cent of their forex expenses.

Factor in forex rates?

Foreign exchange movements have proven notoriously difficult to predict, given their multiple dependencies (interest rates, inflation rates, fund flows, etc). This could make it difficult for investors to take a view on exchange rate movements. This, coupled with the counter-intuitiveness exhibited by firms in several cases, suggests that investors may be better off focussing on other fundamental parameters affecting business prospects, and attach lesser importance to possible impact of forex movements.

Déjà-vu

Seen in the above backdrop, recent instances of exporters expressing concern about the rising rupee (almost 11 per cent up so far in fiscal 2010) evoke a sense of déjà-vu. However, it remains to be seen whether these concerns will translate into reality, given that the global economy is showing incipient signs of recovery.

The key takeaway from our study is that, empirically, linkage between exchange rate movements and performance of companies engaged in international trade has been found to be tenuous and often contrary to expectations.

Investors should rather focus on the bigger picture than trying to factor in exchange rate movements.

Minggu, 21 Maret 2010 at 04.34 , 0 Comments

Forex Market Update

USDJPY rebounds from 3-mth lows amid talk BOJ is on the cusp of further QE measures

Market activity on hold ahead of tonight’s non-farm payroll numbers

MAJOR HEADLINES – PREVIOUS SESSION

* US Q4 Non-farm Productivity out at 6.9% vs. 6.3% expected and 6.2% prior
* US Weekly Initial Jobless Claims out at 469k vs. 470k expected and revised 498k prior
* US Weekly Continuing Claims out at 4500k vs. 4600k expected and revised 4634k prior
* US Jan. Factory Orders out at 1.7% vs. 1.8% expected and revised 1.5% prior
* US Jan. Pending Home Sales out at -7.6% m/m vs. 1.0% expected and revised 0.8% prior
* AU Feb. AiG Performance of Construction Index out at 52.8 vs. 57.7 prior


THEMES TO WATCH – UPCOMING SESSION

(All times GMT)

* Sweden Budget Balance (0830)
* Norway Industrial Production (0900)
* UK PPI Input/Output (0930)
* GE Factory Orders (1100)
* US Change in Non-farm Payrolls (1330)
* US Unemployment Rate (1330)
* US Avg. Hourly Earnings (1330)



Market Comments:

The USD rebounded overnight ahead of tonight’s non-farm payroll release with the biggest gains recorded against the JPY. US data was a mixed bag with jobless claims and non-farm productivity beating forecasts but pending home sales extremely weak and factory orders below forecast.

Both the Bank of England and the ECB left rates unchanged (no statement from the BOE but ECB outlined more normalization and withdrawal of emergency liquidity measures, which were widely expected). The gist of the news conference was more to reassure markets about the Greek situation, vowing to keep 1-mth refinancing operations open for as long as is needed, but nevertheless Greek debt spreads widened a tad. This helped stall the EUR’s rally above 1.37 while comments in the German press by an IFO economist that Greece probably cannot stay in the EUR added pressure while market chatter that a US GSE was cutting limits to a number of EU banks contributed also. Late on, Moody’s downgraded Deutsche bank’s rating which gave the single-bloc currency final confirmation of the push below 1.36.

USDJPY rebounded strongly from a near 3-month low as US yields firmed and the JPY LIBOR was fixed below the US one for the first time since August 2009. In addition, news that Japan’s MOF had been given a deeper war chest for intervention raised that spectre again and a piece from Nikkei News that suggested the Bank of Japan would weigh up further quantitative easing measures heading into April.

In his keynote address at the National People’s Congress, Chinese Premier Wen reaffirmed that China would follow a proactive fiscal policy and an appropriately easy monetary one. Sticking closely to a familiar script he added that the Yuan would be kept basically stable at an appropriate, balanced level. For GDP, the Premier targeted 8% growth in 2010 with 3% inflation tagging along. Muted reaction overall in markets during the Asian session, though China shares were given a moderate lift at the open as a result of the steady policy theme.

The main focus for today will be the release of US non-farm payrolls. European data releases are limited to Sweden’s budget balance, Danish and Norwegian industrial production, UK PPI and German factory orders. Apart from the non-farms we have the unemployment rate, hourly earnings and consumer credit scheduled. Consensus suggests a worse figure than last month is likely, though the distortions due to the bad weather during the reporting period would mean this number has less relevance this month. A better reflection of the employment position is likely to be garnered from the unemployment report where a slight deterioration to 9.8% from 9.7% is expected.

Have a great weekend

Sabtu, 06 Maret 2010 at 23.08 , 0 Comments

How Do I Read the Stochastic Indicator?

Stochastic Indicator is another type of overbought/oversold indicator that is very popular among stock traders and futures traders. This indicator was developed by George Lane in 1960s. George Lane assumed that as the price of an instrument increases, the daily closes tend to be closer to the upper end of the recent price range. On the other hand, as the price decreases, the daily closes tend to be closer to the lower end of the recent price range.

The STOCH is plotted as two lines called %K, a fast line and %D, a slow line. These two lines have the following characteristics: %K line is more sensitive than %D; %D line is a moving average of %K.; and %D line triggers the trading signals. Confused? Deal %K as a fast moving average and %D as a slow moving average. At the 80% and 20% levels, "trigger" lines are normally drawn on stochastic charts. When these lines are crossed, a signal is generated. Stochastic bands are what we call the zones above and below these two lines.

Apply the following formula in order to calculate the stochastic indicator. A scale from 1 to 100 is used to plot the results from the calculations of the formulas below:

%K = [(CCP - LOWn) / (HIGHn - LOWn)]*100

where:

CCP - current closing price

LOWn - the lowest low for the previous n trade periods

HIGHn - the highest high for the previous n trade periods

n- typically it is 14, may also vary. The %K value is 0 when the CCP is the lowest for the last n trade periods. Likewise, the %K value is 100 when the CCP is a highest for the last n trade periods.

%D = SMAn %K

where:

SMAn - simple moving average across n periods; typically n=3

When using Stochastic Indicator, you should be able to determine on how and when to trade.

Overbought / Oversold: The market is in an overbought or oversold mood when one of the stochastic lines crosses the 20% and 80% levels. It means that when the stochastic falls below 20% level then rises above it, then we should buy. And we should sell when the stochastic rises above 80% level then falls below it.

Crossover: The STOCH is plotted as two lines, the %K line and the %D line. They are like two moving averages indicators, one of them is fast and the other is slow. When %K crosses down up the %D, we should buy. But when the %K crossed above down the %D, we sell.

Divergences: There is a good signal for buying or selling the security when there is a divergence between the stochastic lines. The market is weak if prices are making a series of new highs and the stochastic is trending lower. adapted from http://www.forexfloor.com

Kamis, 12 Maret 2009 at 18.43 , 1 Comment

Simple Moving Average (SMA) and Technical Analysis



One of the easiest methods in Technical Analysis is the Simple Moving Average or SMA. It is the simplest type of all the moving average. The SMA shows the average price of a given time period. And each period carries the same weight for the average. SMA helps to smooth the price curve for better trend identification. In fact, the longer the SMA period selected, the smoother the curve.

Since it is the simplest of all the moving average, the math behind SMA is also simple. The average price of a certain period is represented by SMA and it is calculated by summing up the prices of instrument closure over a certain number of single periods divided by the number of time periods. Take note that short-term averages respond quickly to changes in the price of the underlying, while long-term averages are slow to react.

SMA = SUM (CLOSE (i), N) / N

Where:SUM - sum; CLOSE (i) - current period closing price; N = number of periods in calculation.

For example you want to plot a 5 period simple moving average on a 1-hour chart, you should add up the closing prices for the last 5 hours and then divide it by 5. If you want to plot 5 period simple moving an average on a 30 minute chart, then you should add up the closing prices of the last 150 minutes and divide it by 5. So if you want to develop an SMA chart for USD/JPY closing price in a 5-day time frame, how would you do it?

For example the first 5 days USD/JPY closing prices are 125.0, 124.0, 126.0, 123.0, and 127.0. The average of the first 5 days USD/JPY closing price that will be the first dots of the SMA graph is 125.0. The second SMA point will be (124.0 + 126.0 + 123.0 + 127.0 + 126.0)/5= 125.2 if we assume the USD/JPY closing price for the day six is 126.0. So the calculation goes on for the following dots. And joining these SMA dots defines the SMA chart. In other words, SMA is the average stock price over a certain period of time.

Formula for the 5 period SMA 5 period SMA = (Price1 + Price2 + Price3 + Price4 + Price5) / 5

Simple Moving Average operates with a delay just like any indicator. You are forecasting of the future price, not a concrete view of the future, because you are just taking the averages of the price. Although all calculations will be provided by most charting packages, it is important to understand how simple moving averages are calculated. By understanding, you can decide on which type of tool is best for you. from http://www.forexfloor.com

Senin, 23 Februari 2009 at 19.04 , 0 Comments

The Basics of Forex Technical Analysis




Technical analysis is one of the two methods of analyzing Forex; fundamental analysis is the other. These two methods are very important in the Forex trading by forecasting the variations of the Forex market, prediction of the price and the movement of the market. Although technical analysis and fundamental analysis differ greatly, they both predict a price or movement. In this article, Forex technical analysis will be analyzed in detail.

Technical analysis is a method of forecasting price movements and future market trends through the study of past market action which take into account price of instruments, volume of trading and open interest in the instruments. Unlike fundamental analysis, technical analysis is focused with what has actually happened in the Forex market, rather than what should happen. There are certain technical analysis tools such as the relative strength index (RSI), which is a price-following oscillator that ranges between 0 and 100; the Elliott waves method, which deals in the prediction of the market movement by the study of wave patterns over a period of time; the parabolic SAR methodology, in which the prices are examined and compared to stop and reversal numbers which are an indication of entry points and exit points for any Forex trade; the stochastic oscillator, which shows the over bought or oversold currencies on a scale of 0- 100%; and gaps, which denotes the spaces on the bar chart that none of the trading takes place.

Technical analysts are confident that historical performance of stocks and markets denote future performance. They use charts and other tools to identify patterns that can suggest future activity. They do not attempt to measure a security's intrinsic value. They study the price and volume movements. And they create charts from that data. A technical analyst would rather sit on a bench in a certain mall and watch people going into the store. He decides basing on the activity of people going into each store. But if he is a fundamental analyst, he would rather go to each store and study the products on sale. Later he decides whether to buy or not. In other words, technical analysts disregard the intrinsic value of the products in the store. From the point of view of technical analyst, anyone can gain the profit by posing himself in the trend direction. Consequently, they use different patterns in order to create the price chart that will suit the future market and the price would follow the pattern.

In summary, Forex technical analysis focuses on what actually happens in the market. The charts are based on market action involving price, volume and open interest. It is always focused with the pricing and time factors rather than the factors affecting the market. Thus technical analysts study the effects, not the cause of market movement. Adapted from http://www.forexfloor.com

Sabtu, 21 Februari 2009 at 03.24 , 0 Comments

Download Forex Trading eBooks

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Selasa, 10 Februari 2009 at 14.46 , 0 Comments

Economic calendar

Economic calendar for week 1 from 7 Jan. 09 to 9 Jan. 09
Date GMT Release for Period Consensus Prior
7 Jan. 09 12:00 MBA Mortgage Applications (United States of America ) jan-02 - - - -
7 Jan. 09 13:15 ADP Employment Change (United States of America ) DEC - - - -
8 Jan. 09 13:30 Initial Jobless Claims (United States of America ) jan-03 - - - -
8 Jan. 09 13:30 Continuing Claims (United States of America ) dec-27 - - - -
8 Jan. 09 20:00 Consumer Credit (United States of America ) NOV - - - -
9 Jan. 09 13:30 Change in Nonfarm Payrolls (United States of America ) DEC - - -533K
9 Jan. 09 13:30 Unemployment Rate (United States of America ) DEC - - 6,70%
9 Jan. 09 13:30 Change in Manufact. Payrolls (United States of America ) DEC - - -85K
9 Jan. 09 13:30 Average Hourly Earnings MoM (United States of America ) DEC - - 0,40%
9 Jan. 09 13:30 Average Hourly Earnings YoY (United States of America ) DEC - - 3,70%
9 Jan. 09 13:30 Average Weekly Hours (United States of America ) DEC - - 33,5
9 Jan. 09 15:00 Wholesale Inventories (United States of America ) NOV - - -1,10%


Economic calendar for week 2 from 11 Jan. 09 to 17 Jan. 09
Date GMT Release for Period Consensus Prior
13 Jan. 09 13:30 Trade Balance (United States of America ) NOV - - -$57.2B
13 Jan. 09 15:00 IBD/TIPP Economic Optimism (United States of America ) JAN - - 45
14 Jan. 09 12:00 MBA Mortgage Applications (United States of America ) jan-09 - - - -
14 Jan. 09 13:30 Import Price Index (MoM) (United States of America ) DEC - - -6,70%
14 Jan. 09 13:30 Import Price Index (YoY) (United States of America ) DEC - - -4,40%
14 Jan. 09 13:30 Advance Retail Sales (United States of America ) DEC - - -1,80%
14 Jan. 09 13:30 Retail Sales Less Autos (United States of America ) DEC - - -1,60%
14 Jan. 09 15:00 Business Inventories (United States of America ) NOV - - -0,60%
15 Jan. 09 13:30 Producer Price Index (MoM) (United States of America ) DEC - - -2,20%
15 Jan. 09 13:30 PPI Ex Food & Energy (MoM) (United States of America ) DEC - - 0,10%
15 Jan. 09 13:30 Producer Price Index (YoY) (United States of America ) DEC - - 0,40%
15 Jan. 09 13:30 PPI Ex Food & Energy (YoY) (United States of America ) DEC - - 4,20%
15 Jan. 09 13:30 Initial Jobless Claims (United States of America ) jan-10 - - - -
15 Jan. 09 13:30 Continuing Claims (United States of America ) jan-03 - - - -
15 Jan. 09 15:00 Philadelphia Fed. (United States of America ) JAN - - - -
16 Jan. 09 13:30 Consumer Price Index (MoM) (United States of America ) DEC - - -1,70%
16 Jan. 09 13:30 CPI Ex Food & Energy (MoM) (United States of America ) DEC - - 0,00%
16 Jan. 09 13:30 Consumer Price Index (YoY) (United States of America ) DEC - - 1,10%
16 Jan. 09 13:30 CPI Ex Food & Energy (YoY) (United States of America ) DEC - - 2,00%
16 Jan. 09 13:30 CPI Core Index SA (United States of America ) DEC - - 216,849
16 Jan. 09 13:30 Consumer Price Index NSA (United States of America ) DEC - - 212,425
16 Jan. 09 14:15 Industrial Production (United States of America ) DEC - - -0,60%
16 Jan. 09 14:15 Capacity Utilization (United States of America ) DEC - - 75,40%
16 Jan. 09 15:00 U. of Michigan Confidence (United States of America ) JAN P - - - -

Rabu, 07 Januari 2009 at 17.41 , 0 Comments