Singapore - PowerPoint PPT Presentation

About This Presentation
Title:

Singapore

Description:

Title: Singapore s Growth Cycle Chronology, Composite Coincident and Leading Indicators Author: MCHOY Last modified by: United Nations Created Date – PowerPoint PPT presentation

Number of Views:58
Avg rating:3.0/5.0
Slides: 22
Provided by: MCH55
Learn more at: https://unstats.un.org
Category:

less

Transcript and Presenter's Notes

Title: Singapore


1
Tracking and Anticipating Singapores Growth
Cycles
International Seminar on Early Warning and
Business Cycle Indicators 15 December 2009
2
Outline
  • Singapores Composite Leading Index (CLI)
  • CLI Components and Compilation
  • Performance of CLI
  • Does CLI Provide Early Warning?

3
Singapores Composite Leading Index (CLI)
4
Singapores Composite Leading Index
  • Established in the aftermath of the 1985
    recession with the help of the Centre for
    International Business Cycle Research at Columbia
    University
  • Reviewed and revised in 2004 to ensure its
    continuing relevance and enhance its ability to
    anticipate growth cycle fluctuations

5
Classical Cycles and Growth Cycles
  • Classical Cycles
  • Expansions and contractions in the levels of
    aggregate economic activity
  • Growth Cycles
  • Deviations from the long-term trend growth rate
    of the economy deviation cycles
  • More relevant for economies exhibiting long
    upward trend like Singapore

6
CLI Components and Compilation
7
Selection Criteria for CLI Components
  • Economic Significance
  • Express early sentiment and expectations of
    economic agents
  • Measure activity during early stages of
    production
  • Cyclical Behaviour
  • Cycles consistently lead cycles of reference
    series
  • No missing or extra cycles
  • Leads at turning points are relatively
    homogeneous
  • Timeliness and Periodicity
  • Monthly series preferred to quarterly series

8
Components of the CLI
  • Total New Companies Formed
  • Business Expectations of Wholesale Trade, Qtrly
  • Business Expectations of Stock of Finished Goods
    (Mfg), Qtrly
  • Money Supply (M2)
  • Stock Exchange of Singapore Indices
  • US Purchasing Managers Index
  • Domestic Liquidity Index
  • Non-Oil Retained Imports
  • Total Non-Oil Seaborne Cargo Handled

9
CLI Compilation Method
  • Adopted The Conference Boards (TCB) approach
  • Compute month-on-month changes for each component
  • Adjust month-on-month changes to equalise
    volatility of each component
  • Sum the components adjusted month-to-month
    changes for each month to obtain the growth rate
    of CLI
  • Level of the index is computed using the
    symmetric percent change formula
  • With some differences
  • Quarterly components (i.e. Business Expectations)
    are interpolated into monthly data using cubic
    spline
  • CLI growth rates are not adjusted to equate their
    trends to the Composite Coincident Index

10
Methodology to IdentifyCLI Turning Points
  • Step 1 Obtain six-month smoothed annualised rate
    (SMMAR)
  • Step 2 Identify Turning Points
  • Bry-Boschan (1971) algorithm is used to estimate
    the peak and trough of CLI SMMAR

11
Performance of the CLI
12
CLI Reference Series CCI
  • Singapores Composite Coincident Index (CCI),
    which encompasses a broad spectrum of economic
    activities, is used as the basis for identifying
    Singapores growth cycles
  • Singapores CCI was developed in 1986 and
    reviewed in 2004. As with CLI, it was developed
    and updated using TCBs approach

13
Methodology to Identify CCI Growth Cycles
  • Step 1 Trend Estimation
  • Phase-Average Trend (PAT) method developed by
    NBER to separate long-term trend from
    shorter-term cycles so that underlying cyclical
    fluctuations are more prominent
  • Previously used by OECD. OECD switched to
    Hodrick-Prescott (HP) Filter in late-2008. We are
    presently assessing the possibility of using HP
    Filter.
  • Step 2 Identify Turning Points
  • Bry-Boschan (1971) algorithm to estimate the
    peak and trough dates in detrended series

14
Historical Performance of CLI in Predicting
Growth Cycles
  • CLI SMMAR leads historical growth cycles

-15
0
-2
-2
-3
-7
Jul 97-Nov 98 Asian Financial Crisis Downturn in
global electronics cycle
Aug 00-Oct 01 Global economic downturn Severe
downturn in global electronics cycle
Apr 02-Apr 03 Broad-based weakness in domestic
economy
15
Historical Performance of CLI in Predicting
Classical Cycles
  • Classical Cycles can be identified by applying
    Bry-Boschan (1971) algorithm to identify the
    turning points in CCI
  • CLI leads historical classical cycles

-12
0
-4
-2
-3
-6
16
Does CLI Provide Early Warning?
17
Does CLI Provide Early Warning?
  • Singapore experienced 4 consecutive quarters of
    negative quarter-on-quarter growth from 2Q08 to
    1Q09
  • How did CLI perform as a early warning system
    during that period?

18
Does CLI Provide Early Warning?
19
Does CLI Provide Early Warning?
20
Does CLI Provide Early Warning?
  • Yes, the CLI does provide early warning, turning
    down before the onset of a recession and up
    before recovery.
  • However, most analysts and commentators at the
    time were sceptical that the economy was about to
    turn projecting a continuation of the then
    prevailing trend.
  • Compilers may need to do more to report on and
    draw attention to the CLIs
  • Users will need to have the discipline to pay
    attention to the CLIs, particularly when they are
    or seem to be signalling the possible onset of
    turning points

21
References
Bry, G., and C. Boschan, 1971. Cyclical Analysis
of Time Series Selected Procedures and Computer
Programs. New York NBER. OECD, 2008. Upcoming
changes to the OECD Composite Leading Indicators
to be implemented in the December 2008 MEI.
Available at http//www.oecd.org/dataoecd/46/61
/41635628.pdf Accessed 4 November 2009
Write a Comment
User Comments (0)
About PowerShow.com