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 Highlights of the First Quarter 2008 LEIS

The Composite Leading Economic Indicator (LEI) keeps its ascent in Q1 2008    
(Posted 12 February 2008)

The composite leading economic indicator (LEI) climbed to 0.456 in the first quarter of 2008 from 0.368 in the fourth quarter of 2007, maintaining its upward track which started in the third quarter of 2006 (Figure 1 and Table 3). The ascent, however is slower than the impressively steep rise recorded during the fourth quarter of 2007.  This indicates that the record-shattering growth during the fourth quarter may not be maintained in the first quarter of 2008.

Figure 1 below shows the direction of the composite LEI vis-à-vis the movement of the cycle component of the reference series - the non-agriculture gross value added (GVA).

Figure 1.  Composite leading economic indicator (LEI) versus the
cycle component of non-agriculture GVA: Q3 1984 to Q1 2008

Chart

Of the eleven indicators1 that make up the composite LEI, five contributed positively to the LEI for the first quarter of 2008. The positive contributors, beginning with the largest positive contributor, were: stock price index, merchandise imports, exchange rate, wholesale price index and tourist arrivals. The negative contributors, beginning with the largest negative contributor, were: money supply, hotel occupancy rate, consumer price index, terms of trade index, electric energy consumption, and new businesses (Table 1). Positive contributors accounted for 69.0 percent of total contribution, while negative contributors recorded a 31.0 percent share. The share of the positive contributors dropped to 69.0 from 78.8 percent in the fourth quarter of 2007.

The contribution of each of the eleven (11) indicators is measured through the combined effects of the: 1) direction (the slope or change) of the cycle component of each of the indicators; and 2) correlation of their cycle components with that of the GDP for industry and services.

Table 1 shows the share to total contribution of the positive and negative contributors.

Table 1. Contributions of the leading economic indicators: First quarter 2008 LEIS

Indicator Slope
(Q1 2008  - Q4 2007)
Correlation coefficient Contribution 1/ Share to total contribution 3/( % ) Rank 5/
positive contributors negative contributors
 Money supply  (0.810) 0.527 (0.427) 16.7 na 1
 Hotel occupancy rate  (0.257) 0.705 (0.181) 7.1 na 2
 Consumer price index *  0.261 (0.453) (0.118) 4.6 na 3
 Terms of trade index*  0.211 (0.272) (0.058) 2.3 na 4
 Electric energy consumption  (0.017) 0.277 (0.005) 0.2 na 5
 New businesses  (0.007) 0.472 (0.003) 0.1 na 6
 Stock price index  1.966 0.472 0.927 36.3 1 na
 Total merchandise imports  0.634 0.500 0.317 12.4 2 na
 Foreign exchange rate *  (0.416) (0.692) 0.288 11.3 3 na
 Wholesale price index   0.544 0.317 0.172 6.8 4 na
 Tourist arrivals  0.102 0.553 0.056 2.2 5 na
Total Contribution 2/                  2.55      
Share to total contribution 4/ ( % )               100.0           69.0           31.0

Notes * Inverse relationship with GDP.

1/ Contribution = slope x correlation coefficient
2/ Total contribution = summation of the absolute values of contribution.
3/ Share to total contribution = percentage share of the contribution of each indicator to total contribution.
4/ Share to total contribution = percentage share of contributors by type of contribution.
5/ Rank = rank of the indicators in contribution, 1 being the highest.

The top two positive contributors, namely, stock price index and merchandise imports, contributed 48.7 percent keeping the composite LEI afloat during the period. Stock price index has consistently topped the positive contributors since the first quarter of 2007 (Table 1a).

On the other hand, money supply and hotel occupancy topped the negative contributors in pulling the composite LEI down in the first quarter of 2008. The combined negative contributions of these 2 indicators amounted to 23.8 percent of total contribution for the period. Hotel occupancy rate and electric energy consumption has constantly pushed down the index since the first quarter of 2007.

Table 1a.Contribution direction2 of the leading economic indicators: Q1 2007 - Q1 2008

Positive contributors

Q1 2007

Q2 2007

Q3 2007

Q4 2007

Q1 2008

Stock price index

Stock price index

Stock price index

Stock price index

Stock price index

Foreign exchange rate

Foreign exchange rate

Money supply

Total merchandise imports

Total merchandise imports

Money supply

Money supply

Consumer price index

Consumer price index

Foreign exchange rate

New businesses

Consumer price index

Foreign exchange rate

Foreign exchange rate

Wholesale price index

 

Total merchandise imports

Wholesale price index

Money supply

Tourist arrivals

 

Tourist arrivals

Tourist arrivals

Wholesale price index

 

 

Terms of trade index

Terms of trade index

New businesses

 

 

New businesses

 

 

 

Negative contributors

Q1 2007

Q2 2007

Q3 2007

Q4 2007

Q1 2008

Tourist arrivals

Hotel occupancy rate

Hotel occupancy rate

Electric energy consumption

Money supply

Electric energy consumption

Electric energy consumption

Total merchandise imports

Hotel occupancy rate

Hotel occupancy rate

Hotel occupancy rate

Wholesale price index

Electric energy consumption

Terms of trade index

Consumer price index

Wholesale price index

 

New businesses

Tourist arrivals

Terms of trade index

Total merchandise imports

 

 

 

Electric energy consumption

Consumer price index

 

 

 

New businesses

Terms of trade index

 

 

 

 

The following plots show data on the levels and cycles of the top two positive and negative contributors in the composite LEI for the first quarter of 2008, truncated based on the indicators’ lead periods (Table 2).

Positive contributors

1) Stock price index

Save for a major downtick recorded for the fourth quarter of 2005 and a slight decrease in the third quarter of 2006, the stock price index, which has a lead period of two quarters, sustains an upward trend and had been steadily improving since the first quarter of 2003.

Stock Price

Stock Price Cycle

2)   Merchandise imports

The FOB value of total merchandise imports, which has a lead period of one quarter, expanded by 7.1 percent in the fourth quarter of 2007, to 14.30 billion USD3 from previous year’s 13.35 billion USD of the same quarter. The opposing direction between the merchandise import levels and its cycle can be explained by some factors such as seasonality and irregularity which are still present in the original series (imports levels) but are no longer included in the merchandise import cycle.

Merchandise Imports

Merchandise Imports Cycle

Negative contributors

1)   Money supply

Money supply4, as measured by M1, or currency in circulation and peso deposits subject to check of the monetary system, decelerated in the last quarter of 2007, registering only 10.8 percent year-on-year growth, the lowest in 2007.  The growth rates of money supply for the first 3 quarters of 2007 were recorded at 28.3 percent, 26.7 percent, and 18.2 percent for the first, second and third quarters, respectively. Money supply has a lead period of one quarter.  The opposing direction between the money supply levels and its cycle can be explained by some factors such as seasonality and irregularity which are still present in the money supply levels but are no longer included in the money supply cycle.

Money Supply

Money Supply Cycle

2)    Hotel occupancy rate

Hotel occupancy, with a lead period of six months tended to pull down the first quarter 2008 LEI as the average occupancy rate at major hotels in Metro Manila was sluggish, growing only by 1.4 percentage points to 69.6 percent in the third quarter of 2006 from last year’s 68.2 percent in the comparable period.

Hotel Occupancy Rate

Hotel Occupancy Rate Cycle

Table 2 shows the cycle estimates for the 11 indicators for the fourth quarter of 2007 and first quarter 2008 (concurrently estimated for the revised/updated fourth quarter LEI), their corresponding slopes, correlation coefficients, contribution values and lead periods. 

Table 2.  Cycles, Slopes, Correlation Coefficients, and Lead Periods of the
11 Leading Indicators with the Non-Agriculture GVA

Indicators Direction Correlation factor * Contribution Lead Period (quarter)
Cycle,
Q1-2008
Cycle,
Q4- 2007
Slope
(Q1 2008 - Q4 2007)
1. Terms of Trade Index ** (0.130) (0.341) 0.211 (0.272) (0.058) 1
2. Money supply 1.438 2.248 (0.810) 0.527 (0.427) 1
3. Total merchandise imports 0.552 (0.081) 0.634 0.500 0.317 1
4. Tourist arrivals 0.437 0.335 0.102 0.553 0.056 1
5. Electric energy consumption (2.263) (2.246) (0.017) 0.277 (0.005) 2
6. Foreign exchange rate ** (2.166) (1.749) (0.416) (0.692) 0.288 2
7. Number of new business incorporations (0.263) (0.256) (0.007) 0.472 (0.003) 2
8. Stock Price Index 6.420 4.454 1.966 0.472 0.927 2
9. Hotel occupancy rate (0.217) 0.041 (0.257) 0.705 (0.181) 6
10. Consumer Price Index ** 0.591 0.330 0.261 (0.453) (0.118) 10
11. Wholesale Price Index  1.086 0.543 0.544 0.317 0.172 10

Notes: * = Statistically significant at 0.05 percent level and highest correlation coefficient which corresponds to indicated lead period.
**  = Inverse relationship with GDP.

Table 3 below shows the composite LEI estimates and the corresponding slopes for the most recent years - first quarter 2000 to first quarter 2008. Figure 2 plots the composite LEI against the non-agriculture GVA cycle for the same period.

Period Composite LEI Slope
2000 Q1 0.076 0.107
Q2 0.171 0.094
Q3 0.144 (0.026)
Q4 0.039 (0.105)
2001 Q1 (0.071) (0.110)
Q2 (0.127) (0.057)
Q3 (0.191) (0.064)
Q4 (0.340) (0.149)
2002 Q1 (0.424) (0.084)
Q2 (0.267) 0.157
Q3 (0.041) 0.226
Q4 0.014 0.055
2003 Q1 (0.096) (0.110)
Q2 (0.245) (0.149)
Q3 (0.270) (0.025)
Q4 (0.141) 0.129
2004 Q1 (0.005) 0.136
Q2 (0.021) (0.016)
Q3 (0.105) (0.084)
Q4 (0.143) (0.037)
2005 Q1 (0.122) 0.021
Q2 (0.068) 0.054
Q3 (0.032) 0.036
Q4 (0.038) (0.007)
2006 Q1 (0.097) (0.059)
Q2 (0.100) (0.003)
Q3 (0.045) 0.054
Q4 0.019 0.065
2007 Q1 0.115 0.095
Q2 0.202 0.087
Q3 0.257 0.055
Q4 0.368 0.110
2008 Q1 0.456 0.088

Figure 2.  Composite LEI vs Non-Agri GVA cycle
                Q1 2000 to Q1 2008

Composite LEI vs Non-Agri GVA cycle

Table 4 shows the updated estimates of the composite LEI for all quarters of 2006 and 2007.

Quarter As first released Updated as of Q1 2008 LEI report Difference
Q1 2006 0.155 (0.097) (0.252)
Q2 2006 0.222 (0.100) (0.322)
Q3 2006 0.072 (0.045) (0.117)
Q4 2006 0.120 0.019 (0.100)
Q1 2007 0.170 0.115 (0.055)
Q2 2007 0.294 0.202 (0.092)
Q3 2007 0.407 0.257 (0.150)
Q4 2007 0.286 0.368 0.082

The composite LEI for Q4 2007 was revised upwards by 0.082. 

The composite LEI for all quarters of 2006 and 2007 were released as follows:

Q1 2006 - 1 February 2006
Q2 2006 - 2 May 2006 
Q3 2006 - 31 July 2006
Q4 2006 - 21 November 2006
Q1 2007 - 28 February 2007
Q2 2007 - 17 May 2007
Q3 2007 - 17 August 2007
Q4 2007 - 13 December 2007

 

___________________________

1 Refer to Section D of the Technical Notes for brief descriptions of the 11 leading economic indicators. The Technical Notes contains the general procedure in computing the composite LEI (Section B.) and the schedule of data used/required in the seasonal adjustment of the 11 leading indicators and the computation of the composite LEI (Section C/Table 5).

2 The contribution direction (i.e., negative or positive contribution) of each of the eleven indicators may change every quarter as the LEI is estimated. For this quarter, the indicators that changed their contribution direction from fourth quarter 2007 LEIS to the first quarter 2008 LEIS are as follows:

From negative to positive contribution
           1/ Tourist arrivals
From positive to negative contribution
           1/ Money supply
           2/ Consumer price index
           3/ New businesses

3 Q4 2007 figure for Total merchandise imports was estimated using the X11 ARIMA program. See section C of Technical notes for more information on estimated and forecasted data.

4 Real money supply (real M1) is used in the LEI. The quarterly figures are that of the last month of the reference quarter (e.g., December levels for Q4) and are computed as the ratio of money supply M1 over CPI multiplied by 100. See Section C of the Technical notes for more information on the data.

 

 

Leading Economic Indicators Main Page

Press Release on the 1st Quarter 2008 LEI

Technical Notes on the 1st Quarter 2008 LEI

 

 

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