Momentum Threshold Autoregressive Model Research Articles

Unravelling the nexus between energy prices and exchange rate in Malaysia: Fresh insights from a non-linear perspective using threshold cointegration analysis

This paper proposes a nonlinear threshold cointegration framework to study how energy prices affect Malaysia's nominal exchange rate, considering the money supply, income, and interest rate. The study employs a threshold cointegration approach utilizing threshold autoregressive and momentum threshold autoregressive models. The momentum threshold vector error correction model determines the short-run adjustment of exchange rate deviation from the long-run equilibrium level. The findings reveal that the nonlinear adjustment process to capture the short-run deviation in the long-run equilibrium path is primarily influenced by energy prices, money supply, and interest rates. These results highlight the importance of considering the impact of energy prices on exchange rate policies when formulating and implementing economic policies in Malaysia. The findings can also be valuable for decision-makers to comprehend the future dynamics of exchange rates and make well-informed decisions.

Asymmetric and nonlinear comovements of credit default swap and bond markets: evidence from an emerging market

ABSTRACT This study examines the equilibrium and price discovery relationships between credit default swap (CDS) and bond markets through the symmetric and non-symmetric cointegration approaches, focusing on Turkish sovereign markets. While the findings, obtained using the threshold autoregressive (TAR) and momentum threshold autoregressive (MTAR) models, confirm the asymmetric and nonlinear cointegration relationship between CDS and bond markets described in a limited number of studies in the relevant literature, they also, in contrast to other relevant studies, reveal the importance of data frequency and structural breaks in price discovery research. In this context, the results show that the CDS market is the leader in price discovery in high-frequency data and after the first sub-period, and the bond market is the leader in price discovery in low-frequency data and before the first sub-period.

A new assessment of economic integration in East Asia: Application of an industry-specific G-PPP model

It is well known that intra-industry trade and cross-border production networks have promoted economic growth and regional integration in East Asia. However, regional supply and production chains may have been formed differently across industries, reflecting different degrees and a different scope of regional economic linkages at an industry level. This paper makes a threefold contribution. First, to assess industry-level differences, this study adopts the generalized purchasing power parity (G-PPP) model using industry-specific producer prices. Second, the momentum threshold autoregressive (M-TAR) model is employed to allow for possible nonlinearity arising from the dynamic nature of regional economic growth and development. Third, the Granger causality test is also conducted to assess whether regional economies have autonomously integrated. The empirical results reveal that economic integration has progressed more autonomously in the electrical industry, as well as in the transportation equipment industry, as China and the ASEAN countries have become the final destination markets for finished products in these two industries.

The integration and efficiency of BRICS and Pakistan stock markets: An analysis using asymmetric cointegration and MF-DFA approaches

This study examines the asymmetric cointegration and efficiency between Pakistan and BRICS equity markets using monthly data from October 1997 to September 2018. The results reveal that the Brazilian stock market is the most efficient during the global financial crisis. Threshold and momentum threshold autoregressive models (TAR and M.TAR) confirm the presence of a long-run relationship between BRICS and Pakistan stock markets, where the speed of negative shocks is higher and significant for Pakistan Russian, Pakistan South Africa stock market pair. This infers quick adjustment of stock prices to negative shocks (bad news) as compared to positive shocks (good news). The speed of adjustment of positive shocks for Pakistan China is higher. The results of asymmetric error correction model (AECM) show results of unidirectional causality between Pakistan China and Pakistan Brazil stock market pairs, while bidirectional causality runs from Pakistan Russia, Pakistan India, and Pakistan South Africa stock market pairs. Thus the Pakistan stock market has short-run and long-run relationships with most other stock markets. Multi-fractal detrended fluctuation analysis supports long run efficiency of Brazilian markets during the global financial crisis. It suggests that investors pay keen attention to the Pakistan stock market when investing in BRICS stock market.

ASYMMETRIC ADJUSTMENT OF THE SECTORIAL LENDINGDEPOSIT RATE SPREAD IN FIJI

This study investigates the asymmetric adjustment of the sectorial lending-deposit rate spread in Fiji’s banking industry using monthly data from January 2000 to February 2020. The study uses the threshold autoregressive and the momentum threshold autoregressive models to test for cointegration and to detect asymmetries. The analysis provides evidence of an asymmetric adjustment process in the sectorial lending deposit rate spread among Fijian commercial banks. This finding has important policy implications and provides better understanding of the asymmetric behaviour in Fiji’s banking industry.

Modeling Market Integration and Asymmetric Price Transmission Dynamics of Yam Markets in Ghana

Functioning agricultural markets are fundamental to unlock economic growth and to accelerate agricultural development. Understanding the behavior of agriculture markets is crucial for price, poverty and livelihood policy strategies in agrarian economies. To assess price transmission and market efficiencies of Ghanaian yam markets spatial market integration analysis of five major yam markets: Techiman, Tamale, Wa, Kumasi and Accra was conducted. Monthly wholesale price data between January 2006 and June 2018 were used. Results from the momentum threshold autoregressive (M-TAR) model indicated the presence of co-integration and price transmission asymmetries. Thus, price increases in Techiman reference market are more rapidly transmitted to the other regional markets than price reductions. It is recommended that the source of this type of asymmetry be investigated as it favors middlemen at the expense of producers and retailers/consumers for appropriate marketing policy intervention.

Market Integration and Price Transmission in the Vertical Supply Chain of Rice: An Evidence from Bangladesh

As a staple food, rice has an enormous market in Bangladesh in terms of market participants and the volume of the product. As the price of rice is always a sensitive factor for producers, poor consumers and policy makers, this paper investigates market integration and price transmission along the vertical supply chain of rice. Johansen’s test of co-integration confirmed that farm, wholesale and retail prices are co-integrated in the long-run. A causality test revealed that prices were found to be at wholesale levels for both the upstream and downstream markets. The asymmetry error correction model (ECM) has discovered short-run and long-run asymmetry in price transmission in the vertical supply chain where both producers and consumers were being affected due to positive and negative asymmetry. Threshold autoregressive (TAR) and momentum threshold autoregressive (M-TAR) models have confirmed threshold co-integration as well as threshold effect on asymmetry in price transmission. The results highlight the inevitability of policy implementations and increased public interventions to reduce asymmetry for engendering greater pricing efficiency in Bangladesh rice markets.

Evidence of customer sophistication behaviour in deposit markets: the case of Qatar

PurposeThe paper investigates the interest rate policy transmission mechanism and the role of market structure of the banking industry in Qatar.Design/methodology/approachCompetitiveness indexes are used to measure the degree of market power in the banking industry in Qatar. The momentum threshold autoregressive model is applied over the monthly period from January 2005 to June 2018 to examine the magnitude of intermediation and adjustment to disequilibria in the deposit market. In addition, to model interest rate volatility and overcome the problem of heteroscedastic errors in the error correction standard models, an asymmetric EC-EGARCH-M model is applied.FindingsThe findings suggest incomplete pass-through and asymmetric response to monetary shocks. The asymmetric adjustment mechanism is found to be downward rigid which suggests a high degree of customer sophistication and an elastic supply of deposits. The results of the EC-EGARCH-M show that the impact of monetary policy shocks has a significant positive impact on deposit interest rates and that negative monetary shocks trigger more conditional interest rate volatility in the next period than positive monetary shocks for a short maturity rate.Originality/valueThe paper is the first to highlight the behaviour of the interest rate pass through channel and measures the degree of competitiveness of the banking industry for the case of a small, rich country. In addition, using recent data, the paper applies different econometric methodologies and overcomes the problem of heteroskedastic errors by modelling the interest rate volatility using the EC-EGARCH-M model.

Analysis of price transmission in the beef value chain using a calculated retail carcass price

ABSTRACTThe large difference between the producer price of a beef carcass and the retail prices of individual beef cuts has raised concerns among producers. These concerns are caused by the possibility of asymmetry in the market. This study examines the price transmission mechanisms in the beef market by comparing the weekly producer carcass price with a weekly calculated retail carcass price, instead of average retail prices, over a period of three years. It further estimates the causality links between the producer and retail prices. The traditional and standardised augmented Dickey–Fuller procedures were used to test for co-integration and asymmetry in price transmission. Four competing models, namely the Engle–Granger, threshold autoregressive (TAR), momentum threshold autoregressive (M-TAR) and momentum consistent TAR models, were applied. The results indicated that there is positive asymmetric price transmission between producer and retail price as retailers in the market respond quicker to shocks that squeeze their margin than those that stretch them. Market information was found to be flowing from the producer to the retailer.

Asymmetric Momentum Threshold Effect of Copper Futures Returns on Spot Returns Volatility in London Metals Exchange under High Volatility

This paper discusses the asymmetric momentum threshold effect of copper futures returns on spot returns volatility in the London Metal Exchange. Referring the Threshold Autoregressive (TAR) and Momentum Threshold Autoregressive (MTAR) models, this study utilizes a Hybrid MTAR-GARCH model to test the asymmetric momentum threshold effects of LME copper futures returns on spot returns volatility. It is revealed that there are indeed asymmetric momentum threshold effects of LME copper futures returns on spot returns volatility. This finding would be beneficial to financial decision-making concerning copper price hedging, arbitrage and investment amidst high volatility market conditions.

Oil Price and Exchange Rate Nexus in Nigeria: Are there Asymmetries

This paper examines the dynamics in the relationship between oil price and exchange rate in Nigeria by utilizing monthly data spanning January 1986 to June 2018. It specifically determines asymmetries in the relationship between oil price and exchange rate and the effect of oil price shocks on exchange rate. Threshold Autoregressive (TAR), Momentum Threshold autoregressive (MTAR) and Structural Vector Autoregressive (SVAR) models were employed for the analysis. Findings of TAR and MTAR models confirm the absence of asymmetric cointegration, hence leading to the conclusion that in the case of Nigeria, there are no asymmetries in the relationship between oil price and exchange rate. Findings from the SVAR model show gradual appreciation (though with some time lag) of naira following positive shocks to oil price. The study recommends among others the need for diversification of foreign exchange earnings base of the economy, so as to minimise the effect of negative shocks to oil price.

Does CPI Granger Cause WPI? Empirical Evidence From Threshold Cointegration and Spectral Granger Causality Approach in India

In this paper, we investigate the short run and long run causal relationship between wholesale price index (WPI) and consumer price index (CPI) in India over the period from 1994 April to 2015 August. Using a linear cointegration and a nonlinear time series model of threshold cointegration with asymmetric error correction model and spectral Granger causality approach, the study attempts to find the linear and nonlinear cointegration relationship between WPI and CPI in India. Empirical results reveal the non-existence of linear cointegration between the WPI and CPI indices in India. Moreover, using consistent threshold autoregressive (C-TAR) and consistent momentum threshold autoregressive (CM-TAR) model, we find the evidence of non-linear cointegration between WPI and CPI in India over the period from 1994 to 2015. The consistent M-TAR model indicates the presence of threshold cointegration between WPI and CPI, which further suggests the consistent inflationary trends after 1995 in India due to rising per capita income and other macroeconomic indicators. Furthermore, results indicate that WPI and CPI are cointegrated with threshold error correction adjustment, and the adjustment towards long-run equilibrium is asymmetric. This further suggests that WPI and CPI respond differently to positive and negative deviations from the long-run equilibrium after the threshold level. Empirical results further indicate that adjustment towards long-run equilibrium tends to persist more for negative deviations and respond more quickly towards positive deviations. The spectral granger causality results do not reveal the causality from WPI to CPI. However, the Granger causality from the asymmetric error correction model reveals the unidirectional causality, which indicates that CPI Granger causes WPI, support the demand-push inflation in India. CPI Granger causes WPI at very low and high frequencies, which takes an average wavelength of more than 3.6 quarters time in a year. Furthermore, empirical results reveal that WPI and CPI reach equilibrium asymmetrically after the threshold level of the two percentages. In sum, results suggest that the Indian policymakers can emphasis on the demand side rather than supply-side inflation to control the level of inflation after the desired threshold level. Moreover, the central bank of India would give importance to control the unwarranted inflationary trend, which has been caused due to the CPI-based demand-side inflation.

Can oil prices predict the direction of exchange rate movements? An empirical and economic analysis for the case of India

This study investigates whether oil prices have enough predictive information to predict the direction of the movement of exchange rate by examining the type of cointegration relationship between exchange rate and oil prices in India between 1991Q1 and 2013Q1. Our findings suggest the existence of cointegration relationship between exchange rate and oil prices using both Engle–Granger two-step cointegration test and Johansen cointegration test. Using a momentum threshold autoregressive consistent model, we find evidence in favour of asymmetric cointegration between the two variables. Nevertheless we find no evidence to support asymmetric cointegration relationship between the two variables when threshold autoregressive, threshold autoregressive consistent, and momentum threshold autoregressive models are used. Thus, the results suggest that for certain time period, the adjustment process between exchange rate and oil price is constant, which makes it conducive for predicting the direction of exchange rate movement. However, evidence of asymmetric cointegration suggests that the stable relationship is likely to be interrupted with intervals of structural change implying correction in the dynamics of influencing factors.

The asymmetric contagion effect from the U.S. stock market around the subprime crisis between 2007 and 2010

This study employed Enders and Siklos asymmetric co-integration frameworks, including the momentum threshold autoregressive (M-TAR) and logistic smooth transition co-integration (LSTC) models, to investigate whether contagion effects had existed in international stock markets by using the changes in the asymmetric co-integration relationships between the U.S. S&P 500 Index and a total of 23 markets in Asia, Europe, and America during the subprime crisis. The main findings demonstrated that the subprime crisis did not reinforce co-movement trends between the S&P 500 Index and these stock markets, by the application of the Engle-Granger (1987) symmetric co-integration test. However, with the application of the asymmetric co-integration frameworks, both M-TAR and LSTC showed there existed contagion effects between them in the aftermath of Lehman Brothers’ bankruptcy in 2008; transition speeds between these two regimes also substantially increased in the LSTC during the financial crisis. Only the Chinese market was not affected by the U.S. market during this crisis; only an interdependence effect existed between the U.S. and China. The subprime crisis determined the degree of contagion, depending on the financial linkage to the U.S. market, which further demonstrates the differences in the causes and influence between the subprime crisis and other financial crises in emerging markets.

AN INVESTIGATION INTO THE DYNAMIC RELATIONSHIP BETWEEN CPI AND PPI: EVIDENCE FROM THE UK, FRANCE AND GERMANY

This paper examines the dynamic relationship between the consumer price index (CPI) and the producer price index (PPI) in the UK, France and Germany from 1997 to 2013. We employ the momentum-threshold autoregressive (MTAR) cointegration model for empirical analysis. The results show that the CPI and the PPI are cointegrated with bi-directional long-run Granger causality between CPI and PPI, signifying the existence of both demand-pull and the cost-push nature of inflation. The estimates of threshold vector error correction models (TVECMs) indicate asymmetric adjustments to equilibrium, where upward adjustments are statistically significant but downward adjustments are sluggish and insignificant. Moreover, we generate the unconditional half-life estimates as a measure of persistence, which reveal robust evidence of complex non-linearities in the adjustment process. Our overall results provide valuable information for policymakers to formulate inflation-control policies and optimal policy horizons under a non-linear framework.

Asymmetric cointegration and causality between natural gas consumption and economic growth in Nigeria

This paper investigates asymmetric cointegration, asymmetric adjustment, and causality between natural gas consumption and economic growth in Nigeria using the momentum threshold autoregressive (M-TAR) model and the Granger-causality test in a momentum threshold error correction model (M-TECM). The results revealed evidence of asymmetric cointegration, asymmetric adjustment which suggests that the negative discrepancies from the equilibrium error adjust more rapidly than the positive discrepancies and that there is bidirectional causality between the two variables. The implication of the results is that a shock that decreases the impact of natural gas consumption on economic growth adjusts more rapidly than a shock that increases it and that a consistent natural gas supply increases growth and similarly a rise in growth leads to rise in natural gas consumption. Therefore, policymakers in Nigeria need to confine more attention to the shocks stemming from the decrease in natural gas consumption and the country should adopt energy exploration policies.

Asymmetric Pass-through Effects from Monetary Policy to Housing Prices in South Africa

Following the recent financial crisis, spurred by the crash of house prices in the US, there has been a renewed interest by academics in examining the pass-through effects of monetary policy instrument to house price inflation. This study examines the asymmetric pass through effects from monetary policy to house price inflation for the case of South Africa. Our study uses a momentum threshold autoregressive model and a corresponding threshold error correction model (MTAR-TECM). The empirical results reveal a negative and significant pass through from interest rates to house price inflation, even though such pass-through effects are relatively weak. Overall, these findings undermine the ability of the South African Reserve Bank (SARB) to control real house price inflation.

Threshold Analysis of CPI and PPI

This paper examines the dynamic relationship between the consumer price index (CPI) and the producer price index (PPI) in the UK, France and Germany from 1997 to 2013. We employ the momentum-threshold autoregressive (MTAR) cointegration model for empirical analysis. The results show that the CPI and the PPI are cointegrated with bi-directional long-run Granger causality between CPI and PPI, signifying the existence of both demand-pull and the cost-push nature of inflation. The estimates of threshold vector error correction models (TVECMs) indicate asymmetric adjustments to equilibrium, where upward adjustments are statistically significant but downward adjustments are sluggish and insignificant. Moreover, we generate the unconditional half-life estimates as a measure of persistence, which reveal robust evidence of complex nonlinearities in the adjustment process. Our overall results provide valuable information for policymakers to formulate inflation-control policies and optimal policy horizons under a nonlinear framework.

Has the South African Reserve Bank responded to equity returns since the sub-prime crisis? An asymmetric convergence approach

The global financial crisis of 2008 sparked an ongoing debate concerning the interlink between monetary policy and equity returns. This study contributes to the debate by examining whether the South African Reserve Bank (SARB) repo rate responds asymmetrically to changes in the returns on four equity indices on the Johannesburg Stock Exchange (JSE). Our empirical model is the momentum threshold autoregressive (MTAR) model which is applied to monthly data corresponding to periods before the financial crisis (2002:01-2008:08) and periods after the crisis (2008:08-2016:12). There are three main findings which can be derived from our empirical analysis. Firstly, we find a significantly negative relationship between equity prices to the repo rate before the crisis and this relationship turns insignificant in periods after the crisis. Secondly, we find that the reserve bank mainly monitored positive disturbances to equity indices before the crisis whereas after the crisis the reserve bank appears to be more responsive to negative equity deviations. Lastly, we find significant error correcting behaviour in periods before the crisis but not afterwards. Overall, our results indicate that the SARB appears to have been responsive to equity returns prior to the crisis but not for subsequent periods.

Long-run equilibrium adjustment between inflation and stock market returns in South Africa: a nonlinear perspective

Following the global financial crisis of 2007-2008, the empirical investigation into financial variables affecting the performance of stock markets gained prominence in empirical research. This study investigates the asymmetric cointegration effects of inflation on the stock market returns for the Johannesburg Stock Exchange (JSE) using monthly data collected from 2003:01 to 2014:12. The empirical model used in the study is the momentum threshold autoregressive (MTAR) model. Indeed, our results reveal a negative, nonlinear cointegration relationship between inflation and stock returns in South Africa with causality running unidirectional from inflation to stock returns. The results further suggest that investors cannot hedge against rising inflation by investing in equity stocks listed on the JSE. Second, monetary policy, through the use of inflation targets, can provide a stable financial environment for the growth of equity markets in South Africa.