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With the global rise in authoritarianism, there has been an increase in political commentaries by the populist leaders that have criticized their central banks in favor of lower interest rates. We analyze the effects of these political pressures on exchange rates. We provide strong empirical evidence where political commentaries affect both the level and the volatility of exchange rate returns. The intensity of political pressures as well as institutional strength play a key role in determining the size of the impact.

Despite the mounting costs of the pandemic at the global scale, the country-specific costs were rather heterogenous. National performances varied depending on the restrictive measures adopted, institutional strength, as well as adherence to stringency measures. We illustrate that obedience and rule of law strengthen the performance of the containment measures.

COVID-19 pandemic had a devastating effect on both lives and livelihoods in 2020. The arrival of effective vaccines can be a major game changer. However, vaccines are in short supply as of early 2021 and most of them are reserved for the advanced economies. We show that the global GDP loss of not inoculating all the countries, relative to a counterfactual of global vaccinations, can be higher than the cost of manufacturing and distributing vaccines globally. We use an economic-epidemiological framework that combines a SIR model with international production and trade networks. Based on this framework, we estimate the costs for 65 countries and 35 sectors. Our estimates suggest that up to 49 percent of the global economic costs of the pandemic in 2021 are borne by the advanced economies even if they achieve universal vaccination in their own countries.

The COVID-19 crisis can turn into the biggest emerging market (EM) crisis ever. EMs observed the financial shock first, with the tightening global financial conditions. They will soon experience the full wrath of the perfect storm with possibly much larger spill-back effects for the global economy. This paper focuses on a large representative EM, Turkey, with low foreign currency reserves, high foreign currency debt and a questionable record on policy credibility. The pandemic has already led to a substantial decline in economic activity and Turkey's policy options are more limited given its low fiscal space and its reliance on capital flows. We estimate the costs and benefits of a full lockdown and offer policy recommendations that will help to avoid an economic meltdown. In order to prevent a 2001 style crisis, the best option is to consider an immediate lockdown and subsidize the economy. The external funding that is necessary for the economic relief package should be secured through international financial institutions rather than imposing capital controls. Domestic funding should be provided with a well targeted and transparent asset purchase program by the central bank.

Central bank credibility is critical for the effectiveness of monetary policy. The measures of credibility that are based on the changes in actual inflation rate do not perform very well in environments of chronic inflation. We design an alternative measure that allows us to track the evolution of credibility in an inflationary environment. Credibility is defined as the central bank's ability to lower inflation expectations towards its inflation target via current interest rate decisions. We adopt a Bayesian set up to exploit this definition and document how credibility changes over time. Our measure differs from the existing measures that are based on the deviation of inflation expectations from the inflation target. We show that the latter tests may be too blunt in the EM context and either overlook marginal improvements in credibility or incorrectly attribute the temporary reductions in the inflation rate to improvements in credibility. Utilizing a time varying parameters modeling structure, we show that the credibility of the Central Bank of the Republic of Turkey (CBRT) has declined significantly over time. Potential reasons for this deterioration could be the CBRT's disappointing performance in hitting the inflation target and its exposure to political pressures. We apply our methodology to Brazil as well to highlight its advantages and draw a comparison to the existing literature.

Negative interest rate policy (NIRP) is associated with a particular friction. The remuneration of banks' retail deposits tends to be floored at zero, which limits the typical transmission of policy rate cuts to bank funding costs. We investigate whether this friction affects banks' reactions under NIRP compared to a standard rate cut in the euro area. We argue that reliance on retail deposit funding and the level of excess liquidity holdings may increase banks' responsiveness to NIRP. We find evidence that banks highly exposed to NIRP tend to grant more loans. This confirms studies pointing to higher risk taking by banks under NIRP and contrasts results that associate NIRP with a contraction in bank loans. Broader coverage of our loan data and the explicit consideration of banks' excess liquidity holdings are likely reasons for this different result compared to some earlier literature. We are the first to document the importance of banks' excess liquidity holdings for the effectiveness of NIRP, pointing to a strong complementarity of NIRP with central bank liquidity injections, e.g. via asset purchases.

This study examines the effects of price adjustments in the tobacco sector on inflation in Turkey. The findings show that the taxes on tobacco products increase inflation in the short-term. However, the effect is rather limited, a 16 basis points increase in inflation if the current 65.25% Special Consumption Tax (SCT) increases by 25 basis points. Factors that cause inflation in the long-run are cost and demand. The cost-driven impact of tobacco prices on inflation is rather limited due to the low weight of this product in the consumption basket. Nevertheless, the structure of the tax multiplier used in tobacco taxation increases cigarette prices in a non-linear fashion and, therefore, has the potential to disrupt inflationary expectations.

In June 2014 the ECB became the first major central bank to lower one of its key policy rates to negative territory. The theoretical and empirical literature is silent on whether banks' reaction would be different when the policy rate is lowered to negative levels compared to a standard reaction to a rate cut. In this paper we examine this question empirically by using individual bank data for the euro area to identify possible adjustments by banks triggered by the introduction of negative interest rates through three channels: government bond holdings, bank lending, and wholesale funding. We find evidence of a significant adjustment of banks' balance sheets during the negative interest rate period. Banks tend to extend more loans, hold more non-domestic government bonds and rely less on wholesale funding. The nature and scope of the adjustment depends on banks' business models.

The extraordinary steps taken by governments during the 2007-2009 financial crisis to prevent the failure of large financial institutions and support credit availability have invited heated debate. This paper comprehensively reviews empirical assessments of the benefits of those programs-such as their effectiveness in reducing bank failures or supporting new lending-introduces a combined dataset of five key programs that provided term debt or equity to banks in the U.S., and assesses the effects of such support on lending by U.S. banks. The results, using an instrumental variable approach, suggest that bank loans did not increase at institutions receiving government support.

Turkey has been going through a profound urban renewal process in the past decade, mainly based on a policy where public land is rapidly commodified by the state and used for construction projects through public-private partnerships. To some, this mechanism of state-led property development defines a new era in Turkish political economy and that the government shifted away from its earlier economic orientation defined by a commitment to structural reforms and production of exportable goods. Yet others deny the existence of such a shift and highlight that the growth rate in Turkey's construction sector is not above global trends. Despite profound public interest in the topic, empirical studies that investigate the subject remain limited. This paper aims to make a contribution in this regard and investigates how the sectoral decomposition of GDP has changed in recent years, with an emphasis on the construction and industrial sectors.

Many central banks in emerging economies have used reserve requirements (RR) to alleviate the trade-off between financial stability and price stability in recent years. Notwithstanding their widespread use, transmission channels of RR have remained largely as a black-box. In this paper, we use bank-level data to explore the interaction between RR and bank lending behavior. Our empirical findings suggest that short-term borrowing from the central bank is not a close substitute for deposits for banks. Bank lending behavior responds significantly to reserve requirements and liquidity positions. Our analysis allows us to identify a new channel that we name as the "liquidity channel". The channel works through a decline in bank liquidity and loan supply due to an increase in reserve requirements.

A growing number of studies have sought to measure the effects of non-standard policy on bank funding markets. The purpose of this paper is to carry those estimates a step further by looking at the effects of bank funding market stress on the volume of bank lending, using a simultaneous equation approach. By separately modeling loan supply and demand, we determine how nonstandard central bank measures affected bank lending by reducing stress in bank funding markets. We focus on the Federal Reserve and the European Central Bank. Our results suggest that non-standard policy measures lowered bank funding volatility. Lower bank funding volatility in turn increased loan supply in both regions, contributing to sustain lending activity. We consider this as strong evidence for a “bank liquidity risk channel”, operative in crisis environments, which complements the usual channels of transmission of monetary policy.

We explore the effect of volatility in the federal funds market on the expectations hypothesis in money markets. We find that lower volatility in the bank funding markets market, all else equal, leads to a lower term premium and thus longer-term rates for a given setting of the overnight rate. The results appear to hold for the US as well as the Euro Area and the UK. The results have implications for the design of operational frameworks for the implementation of monetary policy and for the interpretation of the changes in the Libor-OIS spread during the financial crisis.

This paper assesses the effectiveness of monetary policy communication of the Central Bank of Turkey (CBT) by quantifying the information content of the policy statements released right after the monthly Monetary Policy Committee meetings. First, we quantify the signal regarding the next interest rate decision and ask whether CBT's words match its deeds, i.e., whether communication improves predictability using the Autoregressive Conditional Hazard model. Our findings suggest that the role of statements in predicting the next policy move have strengthened following the adoption of full-fledged inflation targeting (IT) regime. Second, we identify the surprise component of policy communication directly from market commentaries and assess its impact on the term structure of interest rates. We find that the response of the yield curve to policy statements have become highly significant for the unanticipated changes in the monetary policy communication and the relative importance of communication in driving market yields has increased through time.

In this paper, we investigate the responsiveness of financial markets to monetary policy expectations in Turkey. According to the efficient markets hypothesis, financial markets respond to anticipated policy actions prior to a policy announcement. As a result, they are expected to respond only to the unanticipated component of the interest rate change following the announcement. By measuring monetary policy expectations through surveys conducted by the Central Bank of the Republic of Turkey, we find that the bond market behaves in accordance with the efficient markets hypothesis in Turkey in the 2002-2009 period. Our results suggest that the same is not necessarily true for the stock market. We check the robustness of our results to different survey types in the post-2005 period.

This paper provides a dynamic analysis of the responsiveness of asset markets to monetary policy path revisions. In an era of increased transparency and gradualism in policy making, one might expect an increased response to path revisions in asset markets as the policy actions become more predictable over longer horizons. Using federal funds futures contracts to extract near-term path revisions, we find that the responsiveness of Treasury securities to path revisions is significantly asymmetric, increasing during cycles of tightenings and declining during easings. This is consistent with the earlier literature that documents asymmetric effects of monetary policy on output.

Over the course of the recent liquidity crisis, the Federal Reserve made several changes to its primary credit lending facility such as narrowing the spread between the primary credit rate and the target funds rate and increasing the term of the borrowing. In this paper, we use the model developed by Artuç and Demiralp (2008) to provide a structural assessment of the effectiveness of these changes. Our results suggest that these changes were effective in stabilizing the federal funds market.

The transmission mechanism of monetary policy has received extensive treatment in the macroeconomic literature. Most models currently used for macroeconomic analysis exclude money or else model money demand as entirely endogenous. Nevertheless, academic research and many textbooks continue to use the money multiplier concept in discussions of money. We explore the institutional structure of the transmission mechanism beginning with open market operations through to money and loans to document that the mechanism does not work through the standard multiplier model or the bank lending channel. Our analysis, however, does not reflect on the existence of a broader credit channel.

We test the expectations hypothesis by analyzing changes in three month T-Bill rates (TB3) after FOMC meetings. By estimating the revisions in expectations of future overnight rates, we find a one-to-one relationship between changes in TB3 and path revisions.

Graph-theoretic methods of causal search based in the ideas of Pearl (2000), Spirtes, Glymour, and Scheines (2000), and others have been applied by a number of researchers to economic data, particularly by Swanson and Granger (1997) to the problem of finding a data-based contemporaneous causal order for the structural autoregression (SVAR), rather than, as is typically done, assuming a weakly justified Choleski order. Demiralp and Hoover (2003) provided Monte Carlo evidence that such methods were effective, provided that signal strengths were sufficiently high. Unfortunately, in applications to actual data, such Monte Carlo simulations are of limited value, since the causal structure of the true data-generating process is necessarily unknown. In this paper, we present a bootstrap procedure that can be applied to actual data (i.e., without knowledge of the true causal structure). We show with an applied example and a simulation study that the procedure is an effective tool for assessing our confidence in causal orders identified by graph-theoretic search procedures.

Vector autoregressions (VARs) are economically interpretable only when identified by being transformed into a structural form (the SVAR) in which the contemporaneous variables stand in a well-defined causal order. These identifying transformations are not unique. It is widely believed that practitioners must choose among them using a priori theory or other criteria not rooted in the data under analysis. We show how to apply graph-theoretic methods of searching for causal structure based on relations of conditional independence to select among the possible causal orders ? or at least to reduce the admissible causal orders to a narrow equivalence class. The graph-theoretic approaches were developed by computer scientists and philosophers (Pearl, Glymour, Spirtes among others) and applied to cross-sectional data. We provide an accessible introduction to this work. Then building on the work of Swanson and Granger (1997), we show how to apply it to searching for the causal order of an SVAR. We present simulation results to show how the efficacy of the search method algorithm varies with signal strength for realistic sample lengths. Our findings suggest that graph-theoretic methods may prove to be a useful tool in the analysis of SVARs.

This paper investigates the ability of the Federal Reserve to manipulate the overnight rate without open market operations (which Demiralp and Jorda (2000) term the announcement effect), using high-frequency, open-market-desk data. Using similar data, Hamilton (1997) takes advantage of forecast errors in the Treasury balance to compute the elasticity of the federal funds rate to these errors and thus to obtain a measure of the liquidity effect. Similarly, one can view daily deviations of the federal funds rate from target as forecast errors in the reserve need (see Taylor, 2000). By analyzing the manner and the type of operation the Fed uses to maintain the federal funds rate close to its targeted value and by observing the pattern of operations on the days surrounding a change in this target, we provide evidence of the announcement effect. Furthermore, we show that the discipline of the FOMC schedule dictates, not only the process of expectations formation in the overnight rate, but also the price adjustment process of term rates.

The traditional view of the monetary transmission mechanism rests on the premise that the Federal Reserve (Fed) controls the level of the Federal funds rate via open market operations and the liquidity effect. By contrast, this paper argues that the Fed also manipulates the Federal funds rate via public disclosures of the new level of the Federal funds rate target and the ""announcement effect.'''' We define the announcement effect as the portion of interest rate movements associated with public statements on interest rate targets that do not require conventional open market operations for their support. This paper provides evidence on how the Fed uses the liquidity effect in conjunction with the announcement effect to execute monetary policy. In addition, it investigates the implications of the announcement effect on term structure behavior and the rational expectations hypothesis.

The concept of a strict extended partial order (SEPO) has turned out to be very useful in explaining (resp. rationalizing) non-binary choice functions. The present paper provides a general account of the concept of extended binary relations, i.e., relations between subsets and elements of a given universal set of alternatives. In particular, we define the concept of a weak extended partial order (WEPO) and show how it can be used in order to represent rankings of opportunity sets that display a ""preference for opportunities."" We also clarify the relationship between SEPOs and WEPOs, which involves a non-trivial condition, called ""strict properness."" Several characterizations of strict (and weak) properness are provided based on which we argue for properness as an appropriate condition demarcating ""choice based"" preference.