CAN CREDIT DEFAULT SWAPS PREDICT FINANCIAL CRISES? EMPIRICAL STUDY ON EMERGING MARKETS



Journal of Applied Economic Sciences

Volume IV/ Issue 1(7)/ Spring 2009

Table 2. Data sources and frequencies as they were retrieved

Variables for Stock Market Crises Index

Source

Frequency and Period

Country's Main Stock Market Index

Bloomberg

Monthly, 2000:10 - 2008:8

Independent Variables in Stock Market Model

Source

Frequency and Period

5 YR Credit Default Swaps in USD

Bloomberg

Monthly, 2000:10 - 2008:8

Price/Earnings Ratio of Index

Bloomberg

Monthly, 2000:10 - 2008:8

Stock Returns

Bloomberg

Monthly, 2000:10 - 2008:8

Real Interest Rates

IMF IFS line 60 and 64.X

Monthly, 2000:10 - 2008:8

Variables for Currency Market Crises Index

Source

Frequency and Period

Exchange Rate National Currency per USD

IMF IFS line AE

Monthly, 2000:10 - 2008:8

Total Reserves Minus Gold

IMF IFS line 1L.D

Monthly, 2000:10 - 2008:8

Independent Variables in Currency Market Model

Source

Frequency and Period

5 YR Credit Default Swaps in USD

Bloomberg

Monthly, 2000:10 - 2008:8

Gross Domestic Product

IMF IFS line 99B

Annual, 2000 - 2008

Current Account

IMF IFS line 78ALD

Annual, 2000 - 2008

Unemployment Rate

IMF IFS line 67R

Annual, 2000 - 2008

Terms of Trade

Kaminsky et al (1998)

Quarterly, 2000:9 - 2008:6

Country's Main Stock Market Returns

Bloomberg

Monthly, 2000:10 - 2008:8

Real Interest Rates

IMF IFS line 60 and 64.X

Monthly, 2000:10 - 2008:8

Change in Consumer Prices

IMF IFS line 64.X

Monthly, 2000:10 - 2008:8

We used linear interpolation to convert the annually and quarterly data observations into
monthly frequencies. The variables converted were: GDP growth, current account and unemployment
rate. However, in cases where data with lower frequency was available for some countries on these
series, we retrieved the lower frequency data. For the monthly series, the last day of the month is
used.

By correlation coefficients, we checked whether CDS is showing information that is already
contained in another variable. Table 3 below shows correlation matrices for both markets. The
correlation coefficient that measures the relationship of CDS to other variables falls in the range of -
0.063 (GDP growth) and 0.548 (Inflation). Any coefficient significantly different from 1 and -1 shows
that we cannot fit a linear relationship between those variables. Therefore, we argue that information
contained in CDS is distinct from the one contained in other variables and hence, it can improve
results.

Table 3. Correlation matrices of variables used in stock market and currency market models

Stock Market

One Month Return

CDS

Real Interest Rate

Price/Earnings Ratio

Return

1

-0.01
0.0279
0.0447

CDS

1

0.3433

0.0825

Real Int Rate

1

-0.0821

P/E Ratio

________________1

Currency Market

CDS

Terms

CurrAccount

Unemploy. Inflation Real Int Rate GDP Growth    Return

CDS

1

Terms of Trade

0.0442

1

Current Account

-0.0487

0.0426

1

Unemployment Rate

0.1371

0.3065

-0.1246

1

Inflation

0.548

0.1443

0.0569

-0.0367          1

Real Interest Rate

0.1129

0.0884

-0.1359

0.0699   -0.0454            1

GDP Growt h

-0.0639

0.0444

0.1508

-0.1015     0.023       0.0666            1

One Month Return

0.0049

0.0148

0.1609

-0.0249    0.0377      -0.0614       0.1201__________1

131



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