Core Insights - The article analyzes the differential impact of various types of news on currency pairs, highlighting that economic structure, market liquidity, risk attributes, and policy sensitivity contribute to these differences [1][2][3]. Group 1: Impact by News Type - Economic data news (e.g., employment, inflation) significantly affects major currency pairs like EUR/USD and USD/JPY, which are highly sensitive to US and European data [1]. - Commodity currencies (AUD/USD, USD/CAD) are more influenced by commodity prices and Chinese demand data [2]. - Emerging market currencies (USD/CNH, USD/BRL) experience volatility driven by capital flows, particularly under conditions like a 300 basis point inversion in US-China interest rates, which can pressure the Renminbi [2]. Group 2: Central Bank Policy News - For USD currency pairs, Federal Reserve decisions dominate the market, with hawkish statements boosting the dollar index; after a rate cut in September 2024, US stocks surged while non-USD currencies weakened [3]. - Currency pairs like JPY and CHF are sensitive to sudden changes in central bank policies, as seen in 2022 when the Bank of Japan's intervention led to a 500-point drop in USD/JPY within 10 minutes, although the trend reversed a week later [3]. - Emerging market currencies exhibit strong but fragile policy independence; for instance, a rate cut by the People's Bank of China in 2025 may lead to short-term depreciation of the Renminbi, followed by a rebound as the economy stabilizes [3]. Group 3: Geopolitical and Sudden Events - Safe-haven currencies (JPY, CHF, USD) are sought after during escalations in conflict, as evidenced by the 2022 Russia-Ukraine crisis which increased demand for the Yen and Franc [4]. - Commodity currencies (AUD, CAD) are vulnerable to supply chain disruptions, illustrated by a 76% increase in shipping costs due to a 2025 European port strike, which negatively impacted the Australian dollar [4]. - The British pound (GBP/USD) is highly sensitive to political risks, with significant volatility observed during events like the 2016 Brexit referendum [4]. Group 4: Currency Pair Characteristics - Major currency pairs are most sensitive to US economic data and Federal Reserve policies, typically exhibiting volatility ranges of 50 to 300 points during events like NFP and CPI releases [5]. - Safe-haven currencies react to geopolitical events and global risk sentiment, with typical volatility spikes of 2% to 5% [5]. - Commodity currencies respond to commodity price changes and Chinese demand data, with volatility typically ranging from 30 to 100 points [5]. - Emerging market currencies show significant volatility variation (5% to over 80%) based on Federal Reserve policies and capital flows, with examples of the South African Rand and Turkish Lira depreciating over 80% during tightening periods [5]. Group 5: Underlying Reasons for Differences - Liquidity stratification exists, with major currency pairs like EUR/USD having high liquidity and limited spread expansion, while emerging market currencies can see spreads widen significantly during news events [7]. - Policy transmission efficiency varies, with developed countries having mature expectations management (e.g., the Fed's dot plot), while emerging markets often experience unexpected policy shifts [8]. - Economic structure dependency is evident, as resource-based currencies (AUD, CAD) are closely linked to commodity prices, while manufacturing-exporting currencies (KRW, CNY) are more affected by trade data [9]. - The risk preference transmission chain indicates that risk events lead to safe-haven currency appreciation, which subsequently triggers unwinding of carry trades, causing declines in commodity currencies [10]. Group 6: Trading Strategy Recommendations - For major currency pairs, a breakout strategy is suggested, entering trades three minutes after data releases, validated by technical levels [11]. - For safe-haven and commodity currencies, a mean reversion strategy is recommended following geopolitical events, such as buying the Swiss Franc after a sharp decline due to central bank intervention [12]. - For emerging market currencies, a three-fold verification process is advised, considering policy intervention, fundamentals (trade surplus), and technical support, while avoiding unilateral bets [13].