January 4, 2010 Page 1 of 6

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Page 1 of 6 The process of globalization and electronic trading allows many securities dealers to operate virtually around the clock, passing their books from the Asian to the European to the American time zones as the clock ticks by. Likewise, equity asset managers often strategically rotate investments from one national equity market to the next. The purpose of this piece is to examine the relationship between U.S. and some of the most significant Asian stock markets in Hong Kong, Korea, Peoples Republic of China (China), Taiwan, India and Japan. 35,000 30,000 25,000 20,000 15,000 10,000 5,000 Major Asian Stock Indexes and Nasdaq-100 2,400 2,200 2,000 1,800 1,600 1,400 1,200 1,000 800 600 Major U.S. Stock Indexes Nasdaq-100 15,000 14,000 13,000 12,000 11,000 10,000 9,000 8,000 7,000 6,000 Stock Index Futures - CME Group offers active futures contracts on a number of macro U.S. indexes including the, Nasdaq-100 and the Dow Jones Industrial Average (). Likewise, Asian exchanges list futures on benchmark Asian indexes including the Hang Seng Index and Hang Sang China Enterprise Index (HSCEI) listed on the Hong Kong Exchange (HKEx); CSI 300 Index which soon will be listed on the China Financial Futures Exchange (CFFEX); KOSPI 200 futures and options available on the Korean Exchange (KRX); CNX Nifty futures on the National Stock Exchange of India (NSE); the Taiwan Taiex Index listed on the Taiwan Stock Exchange (TSE); and, the Nikkei 225 listed on the Osaka Securities Exchange (OSE) and on CME in both US dollar (USD) and Japanese yen (JPY) denominated versions. The characteristics of these futures contracts are summarized in the appendix to this article. The availability of these contracts makes it possible to execute and carry inter-market spreads between one continent and the other. 0 Sep-05 Jan-06 May-06 Sep-06 May-07 Sep-07 Jan-08 Sep-08 Jan-09 May-09 Sep-09 Hang Seng HSCEI KOSPI 200 CSI 300 Taiwan Taiex CNX Nifty Nikkei 225 Comparing Volatility Volatility is calculated as the annualized standard deviation of logged daily price movements in a market. Asian indexes have generally been more volatile than their U.S. counterparts with some exceptions including the Taiwan Taiex index. While characteristic volatility levels vary across markets, the patterns are remarkably similar. Volatility rose to new heights in 2008 corresponding to the peak of the so-called subprime mortgage crisis but has since declined across all markets. Stock Index Volatility 2007 2008 2009 2005-09 15.71% 40.31% 27.70% 23.80% Nasdaq-100 18.33% 41.54% 26.80% 25.35% 14.29% 37.14% 24.55% 21.82% Hang Seng 25.54% 49.64% 32.83% 30.10% HSCEI 34.25% 63.49% 37.54% 38.61% KOSPI 200 22.72% 38.40% 26.17% 25.67% CSI 300 35.74% 47.03% 32.18% 33.17% Taiwan Taiex 20.48% 32.98% 24.48% 22.52% CNX Nifty 24.83% 44.10% 33.74% 30.60% Nikkei 225 17.94% 44.97% 27.57% 27.07% Correlations There is generally positive correlation between movements of major U.S. and Asian stock indexes. As shown in our appendix, correlations amongst the 3 U.S. indexes are high, ranging from 0.8842 between the and Nasdaq- 100 to a 0.9779 correlation between the and, suggesting that one index is a reasonable proxy for the other. (These figures are calculated using week-to-week changes in the spot index values from 2005 into early December 2009. Note

Page 2 of 6 that closing times of U.S. and Asian markets are not synchronized, which may reduce the correlations.) Correlations fall when comparing U.S. indexes to Asian stock indexes. Focusing on the, the highest correlation amongst the Asian indexes is observed with respect to the Nikkei 225 with a 0.7011 correlation. This might be explained by observing that U.S. and Japanese economies are more similarly evolved than perhaps other Asian economies. Correlations between the and other Asian indexes tend to fall in the 0.5000-0.6000 vicinity with the exception of the CSI where there was a scant 0.0538 correlation. Perhaps this can be explained by the fact that the Chinese economy is evolving at a much faster rate than practically any other economy worldwide. The relationship between an investment in U.S. stocks and an investment in Asian stock markets is also affected by exchange rates. Thus, we translated our stock indexes into the U.S. dollar (USD). Correlations, when translated into USD and shown in our appendix, do not change much from correlations derived using only spot index values. Stock Index Nikkei 225 and Japanese Yen 20,000 18,000 16,000 14,000 12,000 10,000 8,000 6,000 Nikkei 225 JPY 140 130 120 110 100 This is no surprise with HKD and CNY denominated indexes where the currency remains pegged to USD. Thus, correlations between the and the Hang Seng, HSCI and CSI 300 are virtually unchanged when all values are translated into USD. The only notable exception is found with respect to the correlation between the and the Nikkei 225 which drops from 0.7011 to 0.6120 when translating the indexes into a common currency. That might be explained by the negative correlation between movements in the Nikkei 225 and the 90 80 Native Currency per USD JPY/USD exchange rate. Both series tend to rally and fall in reasonably close lockstep. Note that because we are quoting in JPY per 1 U.S. dollar, the yen is strengthening (weakening) when the quote declines (advances). This might be explained by the fact that the Japanese economy has historically been driven by export power. A strong yen translates into a weaker economy and vice versa. By contrast, there is a generally positive correlation between other Asian currencies and their national stock markets including Korea, Taiwan and India. Note, for example, that the Korean stock market has rallies on Korean won strength and vice versa. Stock Index 280 260 240 220 200 180 160 140 120 100 Kospi 200 and Korean Won KOSPI 200 KRW 1,600 1,500 1,400 1,300 1,200 1,100 1,000 900 800 Equity Market Drivers The fundamental drivers of these markets are found in basic economic conditions. Let s try to correlate U.S. economic circumstances with stock market movements over recent years. The U.S. experienced solid growth between 2002 and 2007 when the so-called sub-prime mortgage crisis began to unfold. The U.S. housing bubble began to burst by mid 2006 as home values plummeted with the /Case-Shiller Home Price Composite Index of 10 U.S. cities down approximately 30% from its peak. Mortgage delinquencies and foreclosures rose to unprecedented levels and activity in the housing market ground down to a halt. Mortgage investors, often involved in complex, levered and generally illiquid structures including SIVs and CDOs saw the value of these investments decline quickly. Faced with the need to raise capital, many of these investors including levered asset managers turned to Native Currency per USD

Page 3 of 6 the equity markets as a source of liquidity. The result was a 37% decline in the value of the 500 in 2008. Qtrly Change in GDP 6% 4% 2% 0% -2% -4% -6% -8% U.S. GDP and Unemployment Rate 11% Q1 04 Q3 04 Q1 05 Q3 05 Q1 06 Q3 06 Q1 07 Q3 07 Q1 08 Q3 08 Q1 09 Q3 09 10% 9% 8% 7% 6% 5% 4% Distressed conditions on Wall Street quickly filtered onto Main Street. U.S. GDP fell 6.4% in the 1 st quarter 2009. U.S. unemployment soared to 10.2% by October 2009. Since those low points, however, conditions have begun to improve with 3 rd quarter 2009 GDP at 2.2%. Unemployment remains high, but has backed off to 10.0%. Stock markets are often regarded as a leading indicator of economic events and have been rallying impressively since the lows of spring 2009. 15% 12% 9% 6% 3% 0% -3% -6% -9% -12% Seasonally Adj Real GDP Unemployment Rate Quarterly Change in GDP USA China S. Korea Taiwan Japan Q1 '05 Q2 '05 Q3 '05 Q4 '05 Q1 '06 Q2 '06 Q3 '06 Q4 '06 Q1 '07 Q2 '07 Q3 '07 Q4 '07 Q1 '08 Q2 '08 Q3 '08 Q4 '08 Q1 '09 Q2 '09 Q3 '09 U.S. and Asian economies have all experienced economic reverses. Japanese and Taiwanese GDPs have fared worse than U.S. GDP, declining by 1.9% and 9.1%, respectively, during the Q1 2009. While many Asian economies depend on export activity, Japan may be more dependent than most and continues to carry a large bad debt overhang. Unemployment Rate Tawian economy has been dynamic but Taiwanese capitalists are more likely than not to outsource production to other locations notably China. South Korea and China have been much more resilient. During the 1 st quarter 2009, the South Korean and Chinese economies experienced GDP growth of - 4.1% and +6.1%, respectively. The Chinese economy has continued to grow at a torrid pace throughout the crisis by all measures. Spread Ratio Because spreads between U.S. and Asian stock index futures are driven by basic economic conditions, you can take a position in stock index futures spreads to capitalize. Placement of a spread requires to one to derive the appropriate ratio of Hang Seng relative to E-mini futures to equalize the monetary value of the positions held on both legs of the spread. The following formula may be used for this purpose. Spread Ratio = Value Hang Seng futures Value futures E.g., on December 31, 2004, the Hang Seng index was quoted at 14,230.14 with the HKD/USD rate at 7.7726 Hong Kong dollars per U.S. dollar. Thus, the Hang Seng futures contract was valued at $91,540 [= (HKD 50 x 14,230.14) 7.7726]. The index was quoted at 1,211.92 and E-mini futures were valued at $60,596 (=$50 x 1,211.92). Spread Ratio = Value Hang Seng futures Value futures = $91,540 $60,596 = 1.51 or 2 Hang Seng : 3 futures Because Hang Seng futures are valued at roughly 50% more than an E-mini futures contract, one might balance the spread by using more futures. Thus, you might have bought (sold) 2 Hang Seng futures; and, sold (bought) 3 E-mini futures. Applying similar logic, one might place a spread in the ratio of 1-for-1 in KOSPI 200 vs. E- mini futures; or, a ratio of 3-for-2 in Taiwan Taiex vs. E-mini futures. Fluctuating Spread Ratios Spread ratios change as a function of the fluctuating values of the two futures contracts. The appropriate ratio between Hang Seng vs. E-mini futures was 1.51 (or 2-to-3 Hang Seng to futures) in December 2004. But the ratio changed to 2.62 (or 2-to-5 Hang Seng to futures) by December 2009. Similarly, one might recommend a 3-to-5 ratio of

Page 4 of 6 KOSPI 200 to futures; or, 1-to-1 ratio of Taiwan Taiex to futures by December 2009. Fluctuating Spread Ratios Hang Seng vs. KOSPI 200 vs. Taiwan Taiex vs. 12/31/04 1.51 0.92 0.64 12/30/05 1.54 1.41 0.64 12/29/06 1.81 1.41 0.68 12/28/07 2.37 1.74 0.70 12/26/08 2.10 1.29 0.61 12/04/09 2.62 1.68 0.86 Fundamental Driven Strategy - The value of these spreads, based upon December 2004 ratios, is shown in our graphic. Note that it has generally been more profitable to be long these spreads, i.e., long Asian indexes and short the U.S. based 500 over the past five years. Spreading Asian Indexes & $180,000 $150,000 $120,000 $90,000 $60,000 $30,000 $0 -$30,000 Sep-05 Jan-06 May-06 Sep-06 May-07 Sep-07 Jan-08 Sep-08 Jan-09 May-09 Sep-09 2-for-3 Hang Seng/ 3-for-2 Taiwan Taiex/ 1-for-1 KOSPI/ That is explained insofar as Asian economies have generally been more expansive than the U.S. economy. But this changed during the recent financial crisis. All stock indexes experienced setbacks of varying severity during 2008 at the height of the crisis before resuming a generally upwards climb by the 2 nd quarter of 2009. Although the crisis started in the U.S., the USD and USD denominated investments were regarded as a safe haven. Thus, the USD generally advanced vs. Asian currencies during the crisis while the tended to outperform Asian stock markets with some exceptions on the way down. Thus, one might buy Asian indexes and sell U.S. indexes during periods of growth. During periods of contraction or economic distress, one might sell Asian indexes and buy U.S. indexes. For example in May 2008, the financial crisis was well under way. Thus, one might have sold Hang Seng futures and bought futures. The spread ratio as of May 2, 2008 was 2.38 implying that one should sell 2 Hang Seng futures and buy 5 E-mini futures. This strategy might have generated a $37,502 profit as seen in our table. 5/2/08 8/15/08 Sep-08 Hang Seng Futures Sep-08 E-mini futures Sell 2 @ 26,120 Buy 5 @ 1,417.50 = $335,108 = $354,375 Buy 2 @ 20,951 Sell 5 @ 1,299.75 = $268,169 = $324,937 Profit of $66,939 Loss of $29,437 Net Profit of $37,502 By December 2008, we were past the height of the crisis and while the U.S. stock market was still slipping, many Asian equity markets were rebounding. Thus, one might have bought 1 KOSPI futures contract at 133.00 and sold 1 E-mini futures at 871.50 on December 5, 2008. This strategy might have generated a profit on both sides of the spread for a net $14,435 gain. 12/5/08 2/13/09 KOSPI 200 Futures E-mini futures Buy 1 @ 133.00 Sell 1 @ 871.50 = $43,575 = $43,575 Sell 1 @ 155.70 Buy 1 @ 820.00 = $55,435 = $41,000 Profit of $11,860 Profit of $2,575 Net Profit of $14,435 Nikkei 225 vs. There are several Nikkei 225 futures contracts available. The OSE lists a contract valued at 1,000 x Index. CME Group lists both JPY and USD denominated contracts valued at 500 and $5 x Index, respectively. These two contracts turn in similar performance but diverge to the extent that the JPY/USD fluctuates. From early 2005 through mid 2007, the value of the JPY was in a general decline vs. the USD. Thus, one might have been happier holding USD denominated Nikkei futures. Subsequently, the JPY generally strengthened vs. USD and the JPY version of the contract was the stronger of the two. Currency fluctuations may impact the Nikkei 225 vs. E-mini spread. Because the JPY/USD rate

Page 5 of 6 is negatively correlated with the Nikkei 225, the JPY Nikkei contract tends to be more stable when translated into USD. The JPY Nikkei vs. spread tends to be less reactive to changing conditions than the USD Nikkei vs. spread. $25,000 $20,000 $15,000 $10,000 $5,000 $0 -$5,000 -$10,000 -$15,000 Nikkei 225 less Spreads Sep-05 Jan-06 May-06 Sep-06 May-07 Sep-07 Jan-08 Sep-08 Jan-09 May-09 Sep-09 1-for-1 Nikkei ( )/ 1-for-1 Nikkei ($)/ The value of these spreads has not rallied in recent months unlike other Asian index vs. spreads. Rather, they have been weak since mid 2006 and well before the height of the financial crisis. This may be explained by early and ongoing sluggishness of the Japanese economy. Correlation Trade - USD and JPY denominated Nikkei 225 futures provides a unique spreading opportunity. This spread has become so popular that these two CME Group products often post nearly identical daily volumes. This is called a correlation trade in reference to the strong negative correlation between the Nikkei 225 index and the JPY/USD exchange rate. JPY weakens as the quoted JPY/USD rate increases; and, strengthens as the quoted rate decreases. Or, one may say that there is a positive correlation with the USD/JPY exchange rate. I.e., as the USD advances vs. JPY, U.S. consumer purchasing power for JPY denominated goods and services increases. This bolsters the export driven Japanese economy and the Nikkei 225 may advance. If the USD should decline vs. the JPY, U.S. consumer purchasing power for Japanese products diminishes, detracting from Japanese strength and the Nikkei 225 may decline. Because of the more dynamic nature of the USD version of the contract, there is often a premium of up to 100 index points in the value of the $ Nikkei vs. Nikkei futures. Professional trading groups including hedge funds follow this relationship closely as part of their short-term correlation trading activities. This spread offers significant crossmargining efficiencies currently in the vicinity of 85%. Nikke iusd less JPY Spread Nikkei JPY less USD Spread & JPY/USD $20,000 130 $15,000 $10,000 $5,000 $0 -$5,000 -$10,000 Nikkei USD less Nikkei JPY Conclusion In today s electronically interlocked world economy, investors frequently rotate investment from one economy to another. U.S. and Asian stock index futures similarly may be used to spread the relative performance of one economy vs. the next. Generally, go long Asian and short U.S. equities during periods of economic expansion; go short Asian and long U.S. indexes in a contraction. These spreads may be enhanced by positively correlated exchange rate movements. An exception is the Japanese market where the JPY is negatively correlated to the Nikkei 225. Finally, one may spread the USD and JPY denominated Nikkei 225 futures offered at CME Group. For more information, please contact John W. Labuszewski, Managing Director Research & Product Development 312-466-7469, jlab@cmegroup.com Richard Co, Director Research & Product Development 312-930-3227, rco@cmegroup.com Lucy Wang, Manager Research & Product Development 312-648-5478, lwang@cmegroup.com 120 110 100 90 80 JPY/USD JPY/USD Exchange Rate

Page 6 of 6 Appendix of Miscellaneous Data Comparing Stock Index Futures (As of 12/7/09) Futures Contract Exchange Contract Curr Cnt Value Index Curr Multiplier Value (USD) E-mini CME Group $50 1,103.25 USD 1.00 $55,163 E-mini Nasdaq-100 CME Group $20 1,783.65 USD 1.00 $35,673 E-mini ($5) CME Group $5 10,390.11 USD 1.00 $51,951 Hang Seng HKEx HKD 50 22,324.96 HKD 7.7501 $144,030 HSCEI HKEx HKD 50 13,358.30 HKD 7.7501 $86,181 CSI 300 * CFFEX CNY 300 3,668.83 CNY 6.8294 $161,163 KOSPI 200 KRX KRW 500,000 1,632.65 KRW 215.55 $93,443 CNX Nifty NSE INR 50 5,066.70 INR 46.5713 $5,440 Taiwan Taiex TFE TWD 200 7,775.64 TWD 32.246 $48,227 Nikkei 225 CME Group 500 10,167.60 JPY 89.51 $56,796 Nikkei 225 CME Group $5 10,167.60 USD 1.00 $50,838 Nikkei 225 CME Group 1,000 10,167.60 JPY 89.51 $113,592 500 * Futures contract has yet to be listed and specifications are tentative. Nasdaq -100 Correlations between Spot Index Values (Sampled Weekly from 12/31/04-12/3/09) Hang Seng HSCEI Kospi 200 CSI 300 Taiwan Taiex - Nasdaq-100 0.9072-0.9779 0.8842 - Hang Seng 0.6391 0.6144 0.6066 - HSCEI 0.5542 0.5508 0.5240 0.9127 - Kospi 200 0.5941 0.6214 0.5719 0.7009 0.6818 - CSI 300 0.0538 0.0843 0.0524 0.3078 0.4568 0.2314 - Taiwan Taiex 0.5052 0.5420 0.4778 0.6578 0.6319 0.6829 0.2771 - CNX Nifty 0.5242 0.5290 0.5164 0.6512 0.6190 0.5881 0.1655 0.5374 - Nikkei 225 0.7011 0.6572 0.6901 0.7327 0.6823 0.7349 0.1963 0.6110 0.5584-500 Nasdaq -100 Correlations between Spot Index Values Translated from Native Currency to USD (Sampled Weekly from 12/31/04-12/3/09) Hang Seng HSCEI Kospi 200 CSI 300 Taiwan Taiex - Nasdaq-100 0.9072-0.9779 0.8842 - Hang Seng 0.6392 0.6148 0.6067 - HSCEI 0.5544 0.5511 0.5241 0.9131 - Kospi 200 0.6262 0.6374 0.5999 0.7246 0.6947 - CSI 300 0.0547 0.0854 0.0529 0.3119 0.4612 0.2325 - Taiwan Taiex 0.5119 0.5443 0.4833 0.6595 0.6369 0.7243 0.2747 - CNX Nifty 0.5317 0.5332 0.5182 0.6668 0.6290 0.6210 0.1901 0.5685 - Nikkei 225 0.6120 0.5546 0.5932 0.6848 0.6394 0.6842 0.2186 0.6182 0.5073 - CNX Nifty CNX Nifty Nikkei 225 Nikkei 225