GEOPOLITICAL RISKS AND THE HIGH-FREQUENCY MOVEMENTS OF THE US TERM STRUCTURE OF INTEREST RATES

2021 ◽  
Author(s):  
RANGAN GUPTA ◽  
ANANDAMAYEE MAJUMDAR ◽  
JACOBUS NEL ◽  
SOWMYA SUBRAMANIAM
Keyword(s):  
Interest Rates ◽  
Term Structure ◽  
Conditional Distribution ◽  
Structural Breaks ◽  
Statistical Tests ◽  
Predictive Ability ◽  
Long Run ◽  
Data Driven Approach ◽  
The Impact ◽  
Geopolitical Risks

We use daily data for the period 25th November 1985 to 10th March 2020 to analyze the impact of newspapers-based measures of geopolitical risks (GPRs) on United States (US) Treasury securities by considering the level, slope and curvature factors derived from the term structure of interest rates of maturities covering 1 to 30 years. No evidence of predictability of the overall GPRs (or for threats and acts) is detected using linear causality tests. However, evidence of structural breaks and nonlinearity is provided by statistical tests performed on the linear model, which indicates that the Granger causality cannot be relied upon, as they are based on a misspecified framework. As a result, we use a data-driven approach, specifically a nonparametric causality-in-quantiles test, which is robust to misspecification due to regime changes and nonlinearity, to reconsider the predictive ability of the overall and decomposed GPRs on the three latent factors. Moreover, the zero lower bound situation, visible in our sample period, is captured by the lower quantiles, as this framework allows us to capture the entire conditional distribution of the three factors. Using this robust model, we find overwhelming evidence of causality from the GPRs, with relatively stronger effects from threats than acts, for the entire conditional distribution of the three factors, with higher impacts on medium- and long-run maturities, i.e., curvature and level factors, suggesting the predictability of the entire US term structure based on information contained in GPRs. Our results have important implications for academics, investors and policymakers.

scholarly journals A Comparative Analysis of the Expectations Hypothesis of the Term Structure of Interest Rates between the BRICS and G7 Countries

2021 ◽  
Vol 24 (2) ◽  
pp. 87-102
Author(s):  
Paul‑Francois Muzindutsi ◽  
Sinethemba Mposelwa
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Term Structure ◽  
Fixed Effects ◽  
Predictive Ability ◽  
G7 Countries ◽  
Expectations Hypothesis ◽  
Panel Ardl ◽  
Long Run ◽  
Block Based

This paper examines the predictive ability of the expectations hypothesis of the term structure of interest rates in the BRICS and G7 countries by relating each country’s monthly 3‑month Treasury bill rate to 10‑year government bond rates, from May 2003 to May 2018. The panel ARDL model, applying the mean group (MG), pooled mean group (PMG), and dynamic fixed effects (DFE) estimators, is employed to compare the short‑ and long‑run relationships in both groups of countries. The results show that the expectations hypothesis holds in both BRICS and G7 country groups. In the long run, the short‑term interest rate is able to predict the long-term interest rate in both the BRICS and G7 countries. Interest rates in BRICS indicate rapid adjustment back to the long‑run equilibrium, while the adjustment is sluggish in the G7 block. Based on the findings of the study, the sluggish adjustment to the equilibrium in the G7 gives the impression that the financial crisis had an impact on the term structure of interest rates as the G7 countries were directly affected by the crisis.

scholarly journals Mobile Money Use: The Impact of Macroeconomic Policy and Regulation

Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 51
Author(s):  
Lorna Katusiime
Keyword(s):  
Exchange Rate ◽  
Interest Rates ◽  
Financial Innovation ◽  
Macroeconomic Policy ◽  
Mobile Money ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Short Run ◽  
The Impact

This paper examines the effects of macroeconomic policy and regulatory environment on mobile money usage. Specifically, we develop an autoregressive distributed lag model to investigate the effect of key macroeconomic variables and mobile money tax on mobile money usage in Uganda. Using monthly data spanning the period March 2009 to September 2020, we find that in the short run, mobile money usage is positively affected by inflation while financial innovation, exchange rate, interest rates and mobile money tax negatively affect mobile money usage in Uganda. In the long run, mobile money usage is positively affected by economic activity, inflation and the COVID-19 pandemic crisis while mobile money customer balances, interest rate, exchange rate, financial innovation and mobile money tax negatively affect mobile money usage.

scholarly journals A Reappraisal of the Prebisch-Singer Hypothesis Using Wavelets Analysis

2021 ◽  
Vol 14 (7) ◽  
pp. 319
Author(s):  
Hany Fahmy
Keyword(s):  
International Trade ◽  
Structural Breaks ◽  
Developing Economies ◽  
Commodity Prices ◽  
Commodity Price ◽  
Data Set ◽  
Price Series ◽  
Long Run ◽  
Starting Point ◽  
The Impact

The Prebisch-Singer (PS) hypothesis, which postulates the presence of a downward secular trend in the price of primary commodities relative to manufacturers, remains at the core of a continuing debate among international trade economists. The reason is that the results of testing the PS hypothesis depend on the starting point of the technical analysis, i.e., stationarity, nonlinearity, and the existence of structural breaks. The objective of this paper is to appraise the PS hypothesis in the short- and long-run by employing a novel multiresolution wavelets decomposition to a unique data set of commodity prices. The paper also seeks to assess the impact of the terms of trade (also known as Incoterms) on the test results. The analysis reveals that the PS hypothesis is not supported in the long run for the aggregate commodity price index and for most of the individual commodity price series forming it. Furthermore, in addition to the starting point of the analysis, the results show that the PS test depends on the term of trade classification of commodity prices. These findings are of particular significance to international trade regulators and policymakers of developing economies that depend mainly on primary commodities in their exports.

Macroeconomic shocks, fragility and home financing in Malaysia: can rental index be the answer?

2018 ◽  
Vol 9 (1) ◽  
pp. 17-44 ◽  
Author(s):  
Rosylin Mohd Yusof ◽  
Farrell Hazsan Usman ◽  
Akhmad Affandi Mahfudz ◽  
Ahmad Suki Arif
Keyword(s):  
Interest Rates ◽  
Islamic Banks ◽  
Macroeconomic Shocks ◽  
Content Type ◽  
Long Run ◽  
Short Run ◽  
Rental Rate ◽  
Conventional Banks ◽  
The Impact ◽  
Conventional And Islamic Banks

Purpose This study aims to investigate the interactions among macroeconomic variable shocks, banking fragility and home financing provided by conventional and Islamic banks in Malaysia. Identifying the causes of financial instability and the effects of macroeconomic shocks can help to foil the onset of future financial turbulence. Design/methodology/approach The autoregressive distributed lag bound-testing cointegration approach, impulse response functions (IRFs) and forecast error variance decomposition are used in this study to unravel the long-run and short-run dynamics among the selected macroeconomic variables and amount of home financing offered by both conventional and Islamic banks. In addition, the study uses Granger causality tests to investigate the short-run causalities among the selected variables to further understand the impact of one macroeconomic shock to Islamic and conventional home financing. Findings This study provides evidence that macroeconomic shocks have different long-run and short-run effects on amount of home financing offered by conventional and Islamic banks. Both in the long run and short run, home financing provided by Islamic banks is more linked to real sector economy and thus is more stable as compared to home financing provided by conventional banks. The Granger causality test reveals that only gross domestic product (GDP), Kuala Lumpur Syariah Index (KLSI)/Kuala Lumpur Composite Index (KLCI) and house price index (HPI) are found to have a statistically significant causal relationship with home financing offered by both conventional and Islamic banks. Unlike the case of Islamic banks, conventional home financing is found to have a unidirectional causality with interest rates. Research limitations/implications This study has focused on analyzing the macroeconomic shocks on home financing. However, this study does not assess the impact of financial deregulation and enhanced information technology on amount of financing offered by both conventional and Islamic banks. In addition, it is not within the ambit of this present study to examine the effects of agency costs and information asymmetry. Practical implications The analysis of cointegration and IRFs exhibits that in the long run and short run, home financing provided by Islamic banks are more linked to real sector economy like GDP and House Prices (HPI) and therefore more resilient to economic vulnerabilities as compared to home financing provided by conventional banks. However, in the long run, both conventional and Islamic banks are more susceptible to fluctuations in interest rates. The results of the study suggest that monetary policy ramifications to improve banking fragility should focus on stabilizing interest rates or finding an alternative that is free from interest. Social implications Because interest plays a significant role in pricing of home loans, the potential of an alternative such as rental rate is therefore timely and worth the effort to investigate further. Therefore, Islamic banks can explore the possibility of pricing home financing based on rental rate as proposed in this study. Originality/value This paper examines the unresolved issues in Islamic home financing where Islamic banks still benchmark their products especially home financing, to interest rates in dual banking system such as in the case of Malaysia. To the best of the authors’ knowledge, studies conducted in this area are meager and therefore is imperative to be examined.

scholarly journals Asymmetric Effect in the Relationship between Oil Prices and Activity: An Estimate of the VECM Model for Eight Emerging Countries

2019 ◽  
Vol 9 (2) ◽  
pp. 92
Author(s):  
Mouldi Djelassi ◽  
Mdalla Omrani
Keyword(s):  
Interest Rates ◽  
Oil Prices ◽  
Emerging Countries ◽  
Oil Shocks ◽  
Asymmetric Effect ◽  
Long Run ◽  
The Interest Rate ◽  
Asymmetrical Impact ◽  
The Impact ◽  
The Relationship

In this study, we attempt to study the impact of oil shocks on the economic activity of eight emerging countries with different importing and exporting profiles, targeting and non-targeting inflation and thus verify the hypothesis of non-linearity. To do this, we used the VECM methodology. In addition to oil prices (the linear variation and its volatility, positive and negative movements in prices), we introduced the interest rate and industrial production as a proxy variable of the activity. The result shows that the economies of these countries are generally more sensitive to net increases in oil prices than to their volatility. Thus, the asymmetrical impact is clearly proven in the results especially in the long run. If the rise in oil prices negatively affects production, the decline does not favor its reshuffle. Indeed, if increases in oil prices reduce economic growth, their declines have no expansionary effect. In addition, the distinction between exporting and importing countries is not obvious. Furthermore, the addition of interest rates indicates that the first prefigurations indicate a tightening of interest rates by the central banks of the target and non-target countries selected in our study.

scholarly journals Revisiting the Dynamic Linkages of Treasury Bond Yields for the BRICS: A Forecasting Analysis

Forecasting ◽  
2020 ◽  
Vol 2 (2) ◽  
pp. 102-129
Author(s):  
Stelios Bekiros ◽  
Christos Avdoulas
Keyword(s):  
Interest Rates ◽  
Error Correction ◽  
Term Structure ◽  
Parameter Instability ◽  
Vector Error Correction ◽  
Brics Countries ◽  
Vector Error ◽  
Long Run ◽  
Out Of Sample ◽  
Dynamic Linkages

We examined the dynamic linkages among money market interest rates in the so-called “BRICS” countries (Brazil, Russia, India, China, and South Africa) by using weekly data of the overnight, one-, three-, and six- months, as well as of one year, Treasury bills rates covering the period from January 2005 to August 2019. A long-run relationship among interest rates was established by employing the Vector Error Correction modeling (VECM), which revealed the validation of the Expectation Hypothesis Theory (EH) of the term structure of interest rates, taking into account long-run deviations from equilibrium and inherent nonlinearities. We unveiled short-run dynamic adjustments for the term structure of the BRICS, subject to regime switches. We then used Markov Switching Vector Error Correction models (MS-VECM) to forecast them dynamically during an out-of-sample period of May 2016 through August 2019. The MSIH-VECM forecasts were found to be superior to the VECM approaches. The novelty of our paper is mainly due to the exploration of the possibility of parameter instability as a crucial factor, which might explain the rejection of the restricted version of the cointegration space, and on the dynamic out-of-sample forecasts of the term structure over a more recent time span in order to assess further the usefulness of our nonlinear MS-VECM characterization of the term structure, capturing the effects of the global and domestic financial crisis.

scholarly journals A macro assessment of China effects on Malaysian exports and trade balances

2014 ◽  
Vol 7 (1) ◽  
pp. 18-37 ◽  
Author(s):  
Tze-Haw Chan ◽  
Hooi Hooi Lean ◽  
Chee-Wooi Hooy
Keyword(s):  
Trade Balance ◽  
Structural Breaks ◽  
Structural Break ◽  
Analytical Framework ◽  
Trade Integration ◽  
Content Type ◽  
Regional Collaboration ◽  
Long Run ◽  
Cointegration Tests ◽  
The Impact

Purpose – This paper aims to focus on the impact of China's export expansion on Malaysian monthly trading with to her 12 major trading partners over the liberalization era. Design/methodology/approach – The analytical framework comprises of both the export and trade balance models. Unit root and cointegration tests with break and error correction modeling are employed in the analyses. Findings – Regime shifts are evident in the long run where structural break(s) found mostly coincides with the Asia crisis and China's accession into WTO. While the income effects are more apparent in most cases, the real exchanges are rather insignificant and incorrectly signed for Malaysian bilateral trading. Besides, the trade balance estimation is generally more consistent that the Chinese exports have exhibited complementary effects in the long-run, mainly for advanced export destination such as Australia, Germany, Japan, the UK and the USA. On the whole, there is insufficient evidence to support the “PRC competitive threat”. Practical implications – The empirical evidence disfavors currency devaluation for current account correction and reveals that the fear for China effect might be over-projected. Closer regional collaboration and trade integration between the two nations are well expected. Originality/value – The paper assesses the China's crowding out effect and magnitudes of Malaysian export and trade balance elasticities with model specifications that consider structural breaks. The paper also assesses the macro dimension of income and real exchanges effects.

scholarly journals The Effect of Scale, Technique, Composition and Trade Openness on Energy Demand: Fresh Evidence from Malaysia

2019 ◽  
Author(s):  
Muhammad Shahbaz ◽  
Md. Mahmudul Alam ◽  
Gazi Salah Uddin ◽  
Loganathan Nanthakumar
Keyword(s):  
Energy Consumption ◽  
Energy Demand ◽  
Structural Breaks ◽  
Negative Impact ◽  
Trade Openness ◽  
Growth Effect ◽  
Demand Model ◽  
Bounds Testing ◽  
Long Run ◽  
The Impact

The aim of this paper utilizes an energy demand model to investigate the impact of trade openness on energy consumption by incorporating scale and technique, composition and urbanization effects in the case of Malaysia. The study covers the sample period of 1970-2011 using quarter frequency data. We applied the bounds testing approach in the presence of structural breaks to examine the long run relationship between the variables. The VECM Granger causality is used to detect the direction of causality between the variables. Our findings indicate that growth effect (scale and technique effect) has a positive (negative) impact on energy consumption whereas composition effect stimulates energy demand in Malaysia.. Energy consumption is positively influenced by both from openness and urbanization. This study opens new policy insights for policy making authorities to articulate a comprehensive energy and trade policy to sustain economic growth and improve the environmental quality of Malaysia.

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