Showing posts with label Forecasting Forum. Show all posts
Sunday, May 11, 2025
From a paper by Cameron Haas, Mateo Hoyos, Emiliano Libman, Guilherme K. Martins, and Arslan Razmi:
“After decades of low and stable inflation, recent global events —such as the COVID-19 pandemic and the Russian invasion of Ukraine —triggered a resurgence in inflationary pressures, prompting central banks worldwide to tighten monetary policy. This paper examines whether monetary policy effectively curbs inflation by employing a trilemma-based identification strategy on a panel dataset of 36 developing and 8 developed economies from 1990 to 2017. Using higher-frequency monthly data, we improve on traditional quarterly or annual approaches by more precisely capturing central bank responses. By applying our theory-driven, trilemma-based identification strategy to a sample of developing countries, we bring novel insights to existing literature. Our findings indicate that monetary policy shocks have significant but impermanent effects on inflation. A 100 basis point interest rate hike lowers the price level by 3.7% at its peak after six months, with effects fading within 18 months. Crucially, our results do not exhibit the “price puzzle,” reinforcing the credibility of our identification strategy. Additionally, we find that monetary policy effects are state-dependent, with stronger disinflationary impacts during high-inflation periods and in economies with lower GDP per capita or higher commodity export dependence. These findings highlight the heterogeneity in monetary policy transmission, underscoring the need for tailored policy responses across different economic contexts.”
From a paper by Cameron Haas, Mateo Hoyos, Emiliano Libman, Guilherme K. Martins, and Arslan Razmi:
“After decades of low and stable inflation, recent global events —such as the COVID-19 pandemic and the Russian invasion of Ukraine —triggered a resurgence in inflationary pressures, prompting central banks worldwide to tighten monetary policy. This paper examines whether monetary policy effectively curbs inflation by employing a trilemma-based identification strategy on a panel dataset of 36 developing and 8 developed economies from 1990 to 2017.
Posted by 2:52 PM
atLabels: Forecasting Forum
From a paper by Andrew Filardo, Mr. R. G Gelos, and Thomas McGregor:
“This paper develops a new approach for exploring the effectiveness of foreign currency intervention, focusing on real exchange cycles. Using band spectrum regression methods, it examines the role of macroeconomic fundamentals in determining the equilibrium real exchange rate at short-, medium-, and low frequencies. Next, it assesses the effectiveness of FX intervention depending on the degree of cycle-specific misalignments for 26 advanced- and emerging market economies, covering the period 1990–2018, and using different techniques to mitigate endogeneity concerns. Evidence supports the hypothesis that central banks can lean effectively against short-run cyclical misalignments of the real exchange rate. The effects are present in quarterly data—i.e., at policy-relevant horizons. The effectiveness of intervention rises with the size of the misalignment, and with the duration of one-sided interventions. FX sales appear to be somewhat more effective than FX purchases, and intervention is less effective in more liquid FX markets.”
From a paper by Andrew Filardo, Mr. R. G Gelos, and Thomas McGregor:
“This paper develops a new approach for exploring the effectiveness of foreign currency intervention, focusing on real exchange cycles. Using band spectrum regression methods, it examines the role of macroeconomic fundamentals in determining the equilibrium real exchange rate at short-, medium-, and low frequencies. Next, it assesses the effectiveness of FX intervention depending on the degree of cycle-specific misalignments for 26 advanced- and emerging market economies,
Posted by 2:50 PM
atLabels: Forecasting Forum
Wednesday, May 7, 2025
From a paper by Saban Nazlioglu, Sinem Pinar Gurel, Sevcan Gunes, Tugba Akin, Cagin Karul & Muhsin Kar:
“The growing empirical literature documents evidence on increasing global inflation co-movement across countries over time; however, little is known about the quantile co-movement structure of inflation. By introducing quantile factor model for a global sample of 151 countries from 1970 to 2023, this study provides new insights with respect to inflation co-movement. The quantile factor analysis sheds light on that (i) global inflation has a quantile-dependent factor structure, with different behavior in low, mild/stable, and high inflation periods; (ii) inflation shows an asymmetric co-movement pattern, with a decreasing degree in low and high inflation periods in comparison with stable inflation period; (iii) while interest rate and economic activity are the underlying observables for the latent quantile factors in low and stable inflation periods, commodity prices also become an underlying observable in high inflation period; and finally (iv) using quantile factors is nontrivial in improving density forecast of inflation in both developed and emerging markets.”
From a paper by Saban Nazlioglu, Sinem Pinar Gurel, Sevcan Gunes, Tugba Akin, Cagin Karul & Muhsin Kar:
“The growing empirical literature documents evidence on increasing global inflation co-movement across countries over time; however, little is known about the quantile co-movement structure of inflation. By introducing quantile factor model for a global sample of 151 countries from 1970 to 2023, this study provides new insights with respect to inflation co-movement. The quantile factor analysis sheds light on that (i) global inflation has a quantile-dependent factor structure,
Posted by 12:14 PM
atLabels: Forecasting Forum
Tuesday, March 18, 2025
From a paper by Umberto Collodel and Vanessa Kunzmann:
“This paper investigates the transmission of monetary policy to financial markets within the Euro area, focusing on the role of uncertainty. While previous research has extensively examined the effects of changes in expected policy rates through event studies of European Central Banks (ECB) announcements, the impact of second moments and uncertainty has been far less explored. We address this gap by introducing a novel market-based measure of uncertainty regarding future interest rates, calculated as the difference in the standard deviation of Overnight Index Swap (OIS) rates in a three-day window around ECB policy announcements. Our findings reveal that ECB announcements generally increase market uncertainty about future interest rates, regardless of the sign of the policy surprise. This increased uncertainty significantly impacts asset prices, leading to higher nominal yields, lower stock market returns, and Euro appreciation against safe-haven currencies.”
From a paper by Umberto Collodel and Vanessa Kunzmann:
“This paper investigates the transmission of monetary policy to financial markets within the Euro area, focusing on the role of uncertainty. While previous research has extensively examined the effects of changes in expected policy rates through event studies of European Central Banks (ECB) announcements, the impact of second moments and uncertainty has been far less explored. We address this gap by introducing a novel market-based measure of uncertainty regarding future interest rates,
Posted by 11:22 AM
atLabels: Forecasting Forum
Monday, March 10, 2025
From a paper by Puneet Vatsa:
“I use a structural vector autoregression model to analyse the links between oil prices, petrol prices, inflation, inflation perceptions, and inflation expectations in New Zealand. Findings reveal that although inflation expectations are sensitive to shocks to oil prices, petrol prices, and inflation itself, they are considerably more sensitive to inflation perception shocks. Shocks to inflation perceptions explain 54% of the forecast error variance in inflation expectations after one quarter and 37% after 18 months. The results underscore the importance of including inflation perceptions in models seeking to account for inflation expectations and their associations with energy prices.”
From a paper by Puneet Vatsa:
“I use a structural vector autoregression model to analyse the links between oil prices, petrol prices, inflation, inflation perceptions, and inflation expectations in New Zealand. Findings reveal that although inflation expectations are sensitive to shocks to oil prices, petrol prices, and inflation itself, they are considerably more sensitive to inflation perception shocks. Shocks to inflation perceptions explain 54% of the forecast error variance in inflation expectations after one quarter and 37% after 18 months.
Posted by 11:49 AM
atLabels: Energy & Climate Change, Forecasting Forum
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