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Item type:Publication, Empirical modeling of high-income and emerging stock and Forex market return volatility using Markov-switching GARCH models(Elsevier, 2020-04-01)Using weekly data for stock and Forex market returns, a set of MS-GARCH models is estimated for a group of high-income (HI) countries and emerging market economies (EMEs) using algorithms proposed by Augustyniak (2014) and Ardia et al. (2018, 2019a,b), allowing for a variety of conditional variance and distribution specifications. The main results are: (i) the models selected using Ardia et al. (2018) have a better fit than those estimated by Augustyniak (2014), contain skewed distributions, and often require that the main coefficients be different in each regime; (ii) in Latam Forex markets, estimates of the heavy-tail parameter are smaller than in HI Forex and all stock markets; (iii) the persistence of the high-volatility regime is considerable and more evident in stock markets (especially in Latam EMEs); (iv) in (HI and Latam) stock markets, a single-regime GJR model (leverage effects) with skewed distributions is selected; but when using MS models, virtually no MS-GJR models are selected. However, this does not happen in Forex markets, where leverage effects are not found either in single-regime or MS-GARCH models. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Stochastic volatility in mean: empirical evidence from Latin-American stock markets using Hamiltonian Monte Carlo and Riemann manifold HMC methods(Elsevier, 2021-05-01)The Stochastic Volatility in Mean (SVM) model of Koopman and Uspensky (2002) is revisited. An empirical study of five Latin American indexes in order to see the impact of the volatility in the mean of the returns is performed. Markov Chain Monte Carlo (MCMC) Hamiltonian dynamics is used to estimate latent volatilities and parameters. Our findings show that volatility has a negative impact on returns, indicating that volatility feedback effect is stronger than the effect related to the expected volatility. This result is clear and opposite to the finding of Koopman and Uspensky (2002). - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The effects of corruption on growth, human development and natural resources sector: empirical evidence from a Bayesian panel VAR for Latin American and Nordic countries(Emerald, 2021-03-08)The of this paper is to analyze the effects of corruption on economic growth, human development and natural resources in Latin American and Nordic countries. Design/methodology/approach Using the hierarchical prior of Gelman et al. (2003), a Bayesian panel Vector AutoRegression (VAR) model is estimated. In addition, two alternative approaches are considered, namely, a panel error correction VAR model and an asymmetric panel VAR model. Findings The results reveal some relevant contrasts: (1) in Latin America there is support for the sand the wheels hypothesis in Bolivia and Chile, support for the grease the wheels hypothesis in Colombia and no significant impact of corruption on growth in Brazil and Peru, while in Nordic countries the response of growth to shocks in corruption is negative in all cases; (2) corruption negatively affects human development in all countries from both regions; (3) corruption tends to spur natural resources sector in Latin American countries, while it is detrimental for natural resources sector in Nordic countries. Research limitations/implications The panel VAR approach uses recursive scheme identification. The authors have analyzed robustness using alternative ordering of the variables. The authors also have followed two alternatives suggested by the Referee: a panel error correction VAR model and a panel asymmetric VAR model. However, another more sophisticated identification scheme could be used. Also other variables could be introduced in the VAR model. Practical implications Regardless of the issue of the “grease” vs the “sand the wheels” debate, corruption should be reduced because it is anyway harmful for human development. The differences in the results for Latin American and Nordic countries show that the effects of corruption have to be assessed considering the different institutional and economic conditions of the countries analyzed. Social implications Governments should seek to reduce corruption because, despite corruption can have mixed effects on economic growth in some contexts, it is anyway harmful for human development. Besides, the finding that in some Latin American countries more activity in the extractive industries is generated by means of corruption confirm the association between corruption and extractivism found by Gudynas (2017) and can explain why there are issues of environmental damage and social conflict linked to natural resources in those countries. Originality/value The present study contributes to the literature by presenting evidence on the effects of corruption on growth, human development and natural resources sector in Latin American and Nordic countries. It is the first study on economics of corruption which directly compares Latin American and Nordic countries. This is relevant because there are important differences between both regions since Latin American countries tend to suffer from widespread corruption, while the Nordic ones have a high level of transparency. It is also the first in using a Bayesian panel VAR approach in order to evaluate the effects of corruption. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Evolution of monetary policy in Peru: an empirical application using a mixture innovation TVP-VAR-SV model(Oxford University Press, 2021-12-15)This article discusses the evolution of monetary policy (MP) in Peru in 1996Q1–2019Q4 using a mixture innovation time-varying parameter vector autoregressive (VAR) model with stochastic volatility (TVP-VAR-SV) as proposed by Koop, Leon-Gonzales and Strachan. The main empirical results are: (i) the VAR coefficients and volatilities change more gradually than the contemporaneous coefficients over time; (ii) the volatility of MP shocks was higher under the pre-Inflation Targeting (IT) regime; (iii) a surprise increase in the interest rate produces gross domestic product (GDP) growth falls and reduces inflation in the long run; (iv) the interest rate reacts more quickly to aggregate supply shocks than to aggregate demand shocks; (v) MP shocks explain a high percentage of domestic variables behavior under the pre-IT regime but their contribution decreases under the IT regime. Overall, these results show that MP has contributed in Peru to lower macroeconomic volatility by (i) reducing average long-term inflation, (ii) increasing the response of GDP growth rate to interest rate, and (iii) by becoming more predictable. (JEL codes: C11, C32, and E52). - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Macroeconomic effects of loan supply shocks: empirical evidence for Peru(Centro de Investigacion y Docencia Economicas A.C., 2021-01-01)This paper quantifies and assesses the impact of an adverse loan supply (LS) shock on Peru’s main macroeconomic aggre-gates using a Bayesian vector autoregressive (BVAR) model in combination with an identification scheme with sign restric-tions. The main results indicate that an adverse LS shock: (i) reduces credit and real GDP growth by 372 and 75 basis points in the impact period, respectively; (ii) explains 11.2% of real GDP growth variability on average over the following 20 quarters; and (iii) explained a 180-basis point fall in real GDP growth on average during 2009Q1-2010Q1 in the wake of the Global Financial Crisis (GFC). Additionally, the sensitivity analysis shows that the results are robust to alternative identification schemes with sign restrictions; and that an adverse LS shock has a greater impact on non-primary real GDP growth. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Presidential approval in Peru: an empirical analysis using a fractionally cointegrated VAR(Springer, 2022-08-01)Presidential approval in Peru depends on economic outcomes. However, voters are unable to distinguish between outcomes resulting from economic policies and those caused by exogenous external factors. Estimation results from seven Fractional Cointegrated VAR (FCVAR) models suggest that presidential approval increases with the monetary policy interest rate, the terms of trade, and manufacturing employment; and decreases with the nominal PEN/USD exchange rate and inflation volatility. Additionally, a Principal Components Analysis (PCA) conducted over a large set of macroeconomic indicators points to a greater influence of external over domestic factors in explaining presidential approval; i.e., economic outcomes that determine the dynamics of presidential approval are not under presidential control in Peru. It can be argued that these findings identify a significant source of political instability and a considerable challenge to democratic governance. To the authors’ best knowledge, this is the first application of fractional cointegration analysis to political economy in Latin America. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Time changing effects of external shocks on macroeconomic fluctuations in Peru: empirical application using regime-switching VAR models with stochastic volatility(Springer Science+Business Media, 2022-08-24)This article quantifies and analyzes the evolving impact of external shocks on Peru’s macroeconomic fluctuations in 1994Q1–2019Q4. For this purpose, we use a group of models with regime-switching time-varying parameters and stochastic volatility (RS-VAR-SV), as proposed by Chan and Eisenstat (J Appl Econ 33(4):509–532, 2018. https://doi.org/10.1002/jae.2617). The data suggest a model with contemporaneous coefficients and constant lags and intercepts, but with regime-switching variances; and point to the existence of two regimes. The IRFs, FEVDs, and HDs show that: (i) China growth shocks have a higher impact on Peru’s output growth (around 0.8%); (ii) financial shocks contract domestic output growth by 0.3% and domestic monetary policy is synchronized with Fed rate movements; (iii) external shocks explain 35% and 70% of output fluctuations under regimes 1 and 2, respectively; and (iv) China growth shocks contributed 1.0 p.p. to the 1.1-p.p. increase (around 89%) in Peru’s output growth between regimes 1 and 2. Additionally, we validate these results by performing seven robustness exercises consisting in changing priors, reordering variables, changing variables, and using four different specifications for the baseline model. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Evolution of the effects of mineral commodity prices on fiscal fluctuations: Empirical evidence from TVP-VAR-SV models for Peru(Springer Science+Business Media, 2022-04-02)This paper studies the evolution of the effects of fluctuations in mineral commodity prices on fiscal variables, especially those associated with fiscal revenues, in Peru by means of VAR models with time-varying parameters and stochastic volatility (TVP-VAR-SV). We compare different alternative specifications using the marginal likelihood and the deviance information criterion, which show that it is essential to consider stochastic volatility. It is found that an increase of 1% in the growth of mineral commodity prices generates increases of around 1.5 and 2.5% in the growth of taxes from mining and mining canon, respectively, thus reflecting a remarkable sensitivity of these variables to external shocks. In turn, these responses are increasingly more pronounced until reaching a peak around 2009 and then decrease, which is in line with the dynamics of the commodities boom. In the variance decomposition, the importance of shocks in mineral commodity prices in explaining fluctuations in taxes from mining and mining canon increases in line with the increasing tendency of mineral prices until the Great Recession, where shocks in mineral commodity prices explain between 40 and 50% of fluctuations in taxes from mining and mining canon, and then it is reduced. This shows the importance of allowing time-varying parameters and stochastic volatility in contrast with a standard VAR. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Impact of monetary policy shocks in the Peruvian economy over time(Elsevier B.V., 2024-12-01)We investigate the evolution of the impact of monetary policy (MP) shocks in Peru in 1996Q1-2018Q2 using a set of time-varying parameter VAR models with stochastic volatility (TVP-VAR-SV), as proposed by Chan and Eisenstat (2018). The main results are: (i) the volatility of MP shocks falls during the Inflation Targeting (IT) regime; (ii) a contractionary MP shock decreases both GDP growth and inflation within a five quarters time span; (iii) the interest rate reacts faster to aggregate supply shocks than to both aggregate demand shocks and exchange rate shocks; (iv) under the pre-IT regime, MP shocks explain 20%, 10%, and 85% of the uncertainty in GDP growth, inflation, and the interest rate, respectively; and under the IT regime, all these percentages shrink to 1%–2%. The sensitivity analysis confirms the robustness of the main results. In general, the results show that MP has contributed to diminishing macroeconomic volatility in Peru. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Evolution of the exchange rate pass-through into prices in Peru: An empirical application using TVP-VAR-SV models(Elsevier Ltd, 2024-04-01)This study examines the evolution of exchange rate pass-through (ERPT) into import, producer, and consumer prices in Peru from 1995Q2 to 2022Q4 using time-varying parameter and stochastic volatility VAR models. Findings reveal a resurgence of ERPTs into import and producer prices since 2009, particularly during the period of a strong US dollar following the 2013 taper tantrum and from 2020 to 2022. Increased uncertainty surrounding the exchange rate and future macroeconomic policies, triggered by the political uncertainty following the 2021 general elections, may have contributed to this trend. Short-term ERPT exceeds long-term ERPT, which might reflect prevalent price dollarization in Peru's import and producer prices. Consumer ERPT remained stable at around 10% until 2009, then increased to 15%, indicating lower levels of price dollarization. This paper sheds light on ERPT dynamics in Peru, carrying implications for policymakers in emerging economies.
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