Silvia Albrizio, Allan Dizioli, and Pedro Vitale Simon
Using a novel approach involving natural language processing (NLP) algorithms, we construct a new cross-country index of firms' inflation expectations from earnings call transcripts. Our index has a high correlation with existing survey-based measures of firms' inflation expectations, it is robust to external validation tests and is built using a new method that outperforms other NLP algorithms. In an application of our index to United States, we uncover some facts related to firm's inflation expectations. We show that higher expected inflation translates into future inflation. Going into the firms level dimension of our index, we show departures from a rational framework in firms' inflation expectations and that firms' attention to the central enhances monetary policy effectiveness.
This note explains the value of strategic foresight and provides implementation advice based on the IMF’s experience with scenario planning and policy gaming. Section II provides an overview of strategic foresight and some of its tools. Scenario planning and policy gaming have been the Fund’s main foresight techniques so far, though other tools have been complementary. Accordingly, section III focuses on the scenario planning by illustrating applications before detailing the methods we have been using, while section IV describes policy gaming including the matrix policy gaming approach with which we have experimented so far. Section V summarizes the key points. In so doing, the note extends an invitation to those in the economics and finance fields (e.g., researchers, policymakers) to incorporate strategic foresight in their analysis and decision making.
Bertrand Gruss, Mrs. Sandra V Lizarazo Ruiz, and Mr. Francesco Grigoli
Anchoring of inflation expectations is of paramount importance for central banks’ ability to deliver stable inflation and minimize price dispersion. Relying on daily interest rates and inflation forecasts from major financial institutions in the United States, we calculate monetary policy surprises of individual analysts as the unexpected changes in the federal funds rate before the meetings of the Federal Reserve Board. We then assess the effect of monetary policy surprises on the dispersion of inflation expectations, a proxy for the extent of anchoring, which is based on the same analysts’ inflation projections submit-ted after the Fed meetings. With an identification strategy that hinges on a tight window around the Fed meetings, we find that monetary policy surprises lead to an increase in the dispersion of inflation expectations up to nine months after the policy meeting. We rationalize these results with a partial equilibrium model that features rational expectations and sticky information. When we allow the degree of information rigidity to depend on the realization of firm-specific shocks, the theoretical results are qualitatively consistent and quantitatively close to the empirical evidence.
Mr. Tokhir N Mirzoev, Ling Zhu, Yang Yang, Ms. Tian Zhang, Mr. Erik Roos, Mr. Andrea Pescatori, and Mr. Akito Matsumoto
The oil market is undergoing fundamental change. New technologies are increasing the supply of oil from old and new sources, while rising concerns over the environment are seeing the world gradually moving away from oil. This spells a significant challenge for oil-exporting countries, including those of the Gulf Cooperation Council (GCC) who account for a fifth of the world’s oil production. The GCC countries have recognized the need to reduce their reliance on oil and are all implementing reforms to diversify their economies as well as fiscal and external revenues. Nevertheless, as global oil demand is expected to peak in the next two decades, the associated fiscal imperative could be both larger and more urgent than implied by the GCC countries’ existing plans.
The yen is an important barometer for the Japanese economy. Depreciations are typically associated with favorable economic developments such as increased corporate profits, rising equity prices, and upward pressure on domestic consumer prices. On the other hand, large and sharp appreciations run the risk of lowering actual and expected inflation, squeezing corporate profits, generating a negative wealth effect through depressed equity prices, and reducing confidence in the Bank of Japan’s efforts to reflate the domestic economy and achieve the inflation target. This paper takes a closer look at underlying drivers of rapid yen appreciations, highlighting the key role of carry-trade and the zero lower bound as important amplifiers.
International Monetary Fund. Monetary and Capital Markets Department
This Technical Note analyzes financial stability issues related to financial market infrastructures (FMIs) in China. Since the previous Financial Sector Assessment Program, the supervision and oversight of FMIs has strengthened through the adoption of the CPSS–IOSCO (Committee on Payment and Settlement Systems/International Organization of Securities Commissions) Principles for FMIs (PFMI). The public adoption of the PFMI by the authorities in 2013 and the establishment of an interagency platform to assess FMIs are commendable. Full implementation of the principles by FMIs is the next step and is expected to enhance the resilience and stability of the FMIs.
This paper studies the relative effectiveness of foreign exchange intervention in spot and derivatives markets. We make use of Brazilian data where spot and non-deliverable futures based intervention have been used in tandem for more than a decade. The analysis finds evidence in favor of a significant link between both modes of intervention and the first two moments of the real/dollar exchange rate. As predicted by theory for the case of negligible convertibility risk, the impact of spot market intervention in our baseline sample is strikingly similar to that achieved through futures based intervention worth an equivalent amount in notional principal.
International Monetary Fund. Western Hemisphere Dept.
This paper assesses the importance of financial market developments for the business cycle in Brazil. The results underscore the importance of macro-financial linkages and highlight risks to the recovery going forward. Although some of the rise in credit growth in Brazil can be attributed to financial deepening and rising income levels, it may have implications for economic activity going forward. Cross-country evidence suggests that periods of easy financial conditions can amplify economic fluctuations and possibly lead to adverse economic outcomes. To explore the nexus between the financial cycle and business cycle, cycles are estimated using a variety of commonly-used statistical methods and with a small, semi-structural model of the Brazilian economy. An advantage of using the model-based approach is that financial and business cycles can be jointly estimated, allowing information from all key economic relationships to be used in a consistent way. Financial sector developments are found to be an important source of macroeconomic fluctuations. Financial accelerator models highlight the role of credit and asset prices in shaping the business cycle.
In November 2014, OPEC announced a new strategy geared towards improving its market share. Oil-market analysts interpreted this as an attempt to squeeze higher-cost producers including US shale oil out of the market. Over the next year, crude oil prices crashed, with large repercussions for the global economy. We present a simple equilibrium model that explains the fundamental market factors that can rationalize such a "regime switch" by OPEC. These include: (i) the growth of US shale oil production; (ii) the slowdown of global oil demand; (iii) reduced cohesiveness of the OPEC cartel; (iv) production ramp-ups in other non-OPEC countries. We show that these qualitative predictions are broadly consistent with oil market developments during 2014-15. The model is calibrated to oil market data; it predicts accommodation up to 2014 and a market-share strategy thereafter, and explains large oil-price swings as well as realistically high levels of OPEC output.
We carry out an ex post assessment of popular models used to forecast oil prices and propose a host of alternative VAR models based on traditional global macroeconomic and oil market aggregates. While the exact specification of VAR models for nominal oil price prediction is still open to debate, the bias and underprediction in futures and random walk forecasts are larger across all horizons in relation to a large set of VAR specifications. The VAR forecasts generally have the smallest average forecast errors and the highest accuracy, with most specifications outperforming futures and random walk forecasts for horizons up to two years. This calls for caution in reliance on futures or the random walk for forecasting, particularly for near term predictions. Despite the overall strength of VAR models, we highlight some performance instability, with small alterations in specifications, subsamples or lag lengths providing widely different forecasts at times. Combining futures, random walk and VAR models for forecasting have merit for medium term horizons.