scholarly journals How the macroeconomic conditions and the global risk factors affect sovereign CDS spreads? New Evidence from Turkey

2021 ◽  
Vol 9 (2) ◽  
pp. 547-560
Author(s):  
Sinem Pınar Gürel

This paper aims to investigate the effects of a set of major country-specific macroeconomic variables and global risk factor on determining Turkey’s sovereign CDS spreads. The industrial production index, consumer price index, nominal exchange rates, policy interest rate, stock market index, and the volatility index as a proxy for global risk appetite are used by employing SVAR methodology with block exogeneity for 2011M01-2020M09 periods. The results reveal that the country's nominal exchange rate is the main driver of sovereign CDS spread. Especially in 2018, the most significant source of the high increase in sovereign CDS spreads is the exchange rates. According to the impulse response functions, to reduce the sovereign CDS spread, economic growth is more effective than the stock market return. Moreover, it is seen that the global risk factor does not play an essential role in the increases in domestic country's sovereign CDS spread.

Author(s):  
M S Eichenbaum ◽  
B K Johannsen ◽  
S T Rebelo

Abstract This article studies how the monetary policy regime affects the relative importance of nominal exchange rates and inflation rates in shaping the response of real exchange rates to shocks. We document two facts about inflation-targeting countries. First, the current real exchange rate predicts future changes in the nominal exchange rate. Second, the real exchange rate is a poor predictor of future inflation rates. We estimate a medium-size, open-economy DSGE model that accounts quantitatively for these facts as well as other empirical properties of real and nominal exchange rates. The key estimated shocks that drive the dynamics of exchange rates and their covariance with inflation are disturbances to the foreign demand for dollar-denominated bonds.


Author(s):  
Paul Bergin

While it is a long-standing idea in international macroeconomic theory that flexible nominal exchange rates have the potential to facilitate adjustment in international relative prices, a monetary union necessarily forgoes this mechanism for facilitating macroeconomic adjustment among its regions. Twenty years of experience in the eurozone monetary union, including the eurozone crisis, have spurred new macroeconomic research on the costs of giving up nominal exchange rates as a tool of adjustment, and the possibility of alternative policies to promote macroeconomic adjustment. Empirical evidence paints a mixed picture regarding the usefulness of nominal exchange rate flexibility: In many historical settings, flexible nominal exchanges rates tend to create more relative price distortions than they have helped resolve; yet, in some contexts exchange rate devaluations can serve as a useful correction to severe relative price misalignments. Theoretical advances in studying open economy models either support the usefulness of exchange rate movements or find them irrelevant, depending on the specific characteristics of the model economy, including the particular specification of nominal rigidities, international openness in goods markets, and international financial integration. Yet in models that embody certain key aspects of the countries suffering the brunt of the eurozone crisis, such as over-borrowing and persistently high wages, it is found that nominal devaluation can be useful to prevent the type of excessive rise in unemployment observed. This theoretical research also raises alternative polices and mechanisms to substitute for nominal exchange rate adjustment. These policies include the standard fiscal tools of optimal currency area theory but also extend to a broader set of tools including import tariffs, export subsidies, and prudential taxes on capital flows. Certain combinations of these policies, labeled a “fiscal devaluation,” have been found in theory to replicate the effects of a currency devaluation in the context of a monetary union such as the eurozone. These theoretical developments are helpful for understanding the history of experiences in the eurozone, such as the eurozone crisis. They are also helpful for thinking about options for preventing such crises in the future.


2017 ◽  
Vol 10 (3) ◽  
pp. 450-467 ◽  
Author(s):  
Peter Öhman ◽  
Darush Yazdanfar

Purpose The purpose of this study is to investigate the Granger causal link between the stock market index and housing prices in terms of apartment and villa prices. Design/methodology/approach Monthly data from September 2005 to October 2013 on apartment prices, villa prices, the stock market index, mortgage rates and the consumer price index were used. Statistical methods were applied to explore the long-run co-integration and Granger causal link between the stock market index and apartment and villa prices in Sweden. Findings The results indicate that the stock market index and housing prices are co-integrated and that a long-run equilibrium relationship exists between them. According to the Granger causality tests, bidirectional relationships exist between the stock market index and apartment and villa prices, respectively, supporting the wealth and credit-price effects. Moreover, variations in apartment and villa prices are primarily caused by endogenous shocks. Originality/value To the authors’ best knowledge, this study represents a first analysis of the causal nexus between the stock market and the housing market in terms of apartment and villa prices in the Swedish context using a vector error-correction model to analyze monthly data.


2015 ◽  
Vol 6 (1) ◽  
pp. 93-106
Author(s):  
Tamara Mariničevaitė ◽  
Jovita Ražauskaitė

We examine the capability of CBOE S&P500 Volatility index (VIX) to determine returns of emerging stock market indices as compared to local stock markets volatility indicators. Our study considers CBOE S&P500 VIX, local BRIC stock market volatility indices and BRIC stock market MSCI indices daily returns in the period from January 1, 2009 to September 30, 2014. Research is conducted in two steps. First, we perform Spearman correlation analysis between daily changes in CBOE S&P500 VIX, local BRIC stock market VIX and MSCI BRIC stock market indices returns. Second, we perform multiple regression analysis with ARCH effects to estimate the relevance of CBOE S&P500 VIX and local VIX in determining BRIC stock market returns. Research reports weak correlation between CBOE S&P500 VIX and local VIX (except for Brazil). Furthermore, results challenge the assumption of CBOE S&P500 VIX being an indicator of global risk aversion. We conclude that commonly documented trends of rising globalization and stock markets co-integration are not yet present in emerging economies, therefore the usage of CBOE S&P500 VIX alone in determining BRIC stock market returns should be considered cautiously, and local volatility indices should be accounted for in analysis. Furthermore, the data confirms the presence of safe haven properties in Chinese stock market index.


2021 ◽  
Vol 80 (318) ◽  
pp. 3
Author(s):  
Franklin Serrano ◽  
Ricardo Summa ◽  
Gabriel Aidar

<div class="WordSection1"><h1 align="center"><strong style="font-size: 10px;">ABSTRACT</strong></h1></div><p>A theory analyzing the short run dynamics of nominal exchange rates under exogenous interest rates and free imperfect international capital markets is presented. Introducing elastic exchange rate expectations leads to cumulative changes in the spot and forward exchange rates in the same direction. We find that free floating exchange rate regimes are intrinsically unstable, as the nominal exchange rate is an institutional or policy variable that has no ‘fundamental equilibrium’ level. Implications for monetary policy and exchange market interventions of this potential instability are derived. Our results help to explain both the empirical prevalence of dirty floating exchange rate regimes and some aspects of the uncovered interest parity ‘failure’.</p><p> </p><p align="center">TASA DE INTERÉS EXÓGENA Y DINÁMICA DEL TIPO DE CAMBIO CON EXPECTATIVAS ELÁSTICAS</p><p align="center"><strong>RESUMEN </strong></p><p>Presentamos un análisis teórico de la dinámica de corto plazo de los tipos de cambio nominales con tasas de interés exógenas y libres e imperfecta movilidad internacional de capitales. La introducción de expectativas de tipo de cambio elásticas conduce a variaciones acumulativas en los tipos de cambio <em>spot</em> y <em>forward</em> en la misma dirección. Los regímenes de tipo de cambio de flotación libre son intrínsicamente inestables, dado que el tipo de cambio nominal es una variable institucional o de política que no tiene un nivel de “equilibrio fundamental”. Derivamos implicaciones de esta inestabilidad potencial para la política monetaria y las intervenciones en los mercados cambiarios. Los resultados ayudan a explicar la prevalencia de tipos de cambio de flotación sucia y aspectos de la “falla” de la paridad de tasas de interés descubierta.</p>


2020 ◽  
Vol 7 (9) ◽  
pp. 283-311
Author(s):  
Elias A. Udeaja ◽  
Nathan P. Audu ◽  
Titus O. Obiezue

This paper examines the effectiveness of the interest and exchange rates channels of monetary policy transmission mechanism. The paper employed several statistical cum econometric methodology in a baseline structural vector autoregressive (SVAR) model to evaluate the influence of policy shocks on selected endogenous variables; gross domestic product (GDP), consumer price index (CPI), money supply (MS), treasury bill rate (TBR) and nominal exchange rate (NER) for Nigerian spanning 1981Q1 to 2020Q1. The contemporaneous coefficients in the structural model reveals that key monetary aggregates reacts positively to unexpected changes in the monetary policy instruments. Furthermore, the variance decomposition results indicate that shocks of the selected variables were found to be important for interest rate growth in the short and longer horizons. The exchange rate channel however appears to have a stronger impact on prices. These results mean that depreciation of the nominal exchange rate could be an external deflationary element, particularly for Nigeria.


2021 ◽  
Vol 25 ◽  
pp. 260-272
Author(s):  
Greta Keliuotyte-Staniuleniene ◽  
Julius Kviklis

This research aims to assess the impact of the spread of the COVID-19 pandemic on the Baltic stock market. To reach this aim, the methods of bivariate (OLS) regression and VAR-based impulse response functions are employed. We use daily new cases of COVID-19 as well as the cumulative number of COVID-19 cases as independent and OMX Baltic Benchmark GI index as dependent variables for our research. The research period, covering data from 2020 March 1st  to 2020 November 21st, is divided into three separate periods, reflecting the different phases of the spread of the COVID-19 pandemic. The results of the research revealed that the market reaction differs depending on the period; moreover, the Baltic stock market index was affected by new cases and total cases in a slightly different manner.


2021 ◽  
Author(s):  
Vida Varahrami ◽  
Masoumeh Dadgar

Abstract This article reviews the relationship between the oil market and the stock market during the Corona outbreak. This study aims to analyze the stock market and the effect of oil prices on this market during the corona pandemic. The hypothesis of this paper is whether while oil prices shocks happen due to business cycle fluctuations and some other reasons like political reasons, occur; The correlations between changes in Brent oil prices and stock market indices tend to be affected by named corona indexes. Forecasting the stock market in each period has been difficult and the value of stock index has been affected by various factors. Among these factors has been the oil and gas sector, especially in countries dependent on the revenue from their sales. On the other hand, the outbreak of Covid-19 pandemic has led to profound changes in both areas. This study examines relationship between Brent oil price and Iran stock market Index during the outbreak of corona pandemic. Research method is, vector autoregression model (VAR) which using daily data covering the period from February 20, 2020 to August 21,2020. The findings of this study suggest that a negative causal effect from Brent oil price changes to the Iran stock market Index. Also, the results of impulse response functions and variance decompositions showed that some corona pandemic indicators have significant effects on the stock index.JEL Classification: I18, E44, Q4, C5


2019 ◽  
Vol 14 (28) ◽  
pp. 9
Author(s):  
Francisco López-Herrera ◽  
Alejandra Cabello ◽  
Edgar Ortiz

This paper analyzes the relationship between economic activity in Mexico and a set of relevant Mexican financial variables. Monthly data for the period January 1993 to August 2018 includes time series of global economic activity index, consumer price index, peso-USD exchange rate, international reserves, interest rate of short-term Mexican T-bills, Mexico´s stock market index and its level of activity as measured by the volume of operations on variable income assets. The analysis is based on an Autoregressive Distributed Lag (ADRL) model. The empirical evidence reveals that all explanatory variables, except the stock market index, show a long-run relationship with the level of Mexican economy activity.


The study focused on the volatility forecasting in developed and developing share market. The objective of the study was to evaluate the ability of six different statistical and econometric volatility forecasting models in the context of India, Brazil, Japan and US stock market from November 1994 till February 2005 on the basis of four evaluation error measures statistics which are mean absolute error (MAE), root mean square error (RMSE), Theil’s U (TU) and MAPE. The monthly data of stock market index of India, Brazil, Japan and US were collected from January 1992 till April 2005 and also monthly data of stock market index, discount rate, consumer price index (CPI), industrial production and foreign exchange reserves of India, Brazil, Japan and US respectively were collected. Then further analysis was done using four forecasting models which were moving average, exponential weighted moving average, multiple regression, GARCH. The study found out that GARCH and MAE forecasting models are superior in developed market as well as developing market like India.


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