Interactions between oil prices and financial sectors’ performances: empirical evidence from Amman Stock Exchange

Katırcıoğlu, Salih; ALKHAZALEH, MANSOUR

doi:10.1007/s11356-018-3311-5

Cited by 12 publications

(5 citation statements)

References 12 publications

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“…The relationship between stock prices and macroeconomic variables has been discussed all over the world. The growing linkages between macroeconomic variables and the movement of stock prices have well been documented in the literature over the last several years (Sadorsky, 2003;Chen, 2003;Hadi, Katircio glu, & Adaoglu, 2019;Katircio glu, Alkhazaleh, & Katircio glu, 2018;Katircio glu & Zabolotnov, 2019;Rezgallah, € Ozataç, & Katircio glu, 2019;Shaeri & Katircio glu, 2018). Campbell (1987Campbell ( , 1991, Fama and Schwert (1997) showed that short-and long-term interest rates have a modest degree of forecasting power for excess stock returns.…”

Section: Introductionmentioning

confidence: 89%

A multivariate cointegration time series model and its applications in analysing stock markets in China

Zhao

Han

2020

Economic Research-Ekonomska Istraživanja

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This paper explores nonlinear cointegration between Chinese mainland stock markets and Hong Kong stock market in a multivariate framework for the period January, 1998 to December, 2014 by a nonparametric method. The local linear kernel smoothing method is developed to estimate the unknown function, and the practical problem of implementation is also addressed. Then, a simple nonparametric version of a bootstrap test is adapted for testing misspecification. Furthermore, Some Monte Carlo experiments are presented to examine the finite sample performance of the proposed procedure. Finally, the stock markets data set is discussed in detail by using proposed procedures, showing that Shanghai Stock Index (SHSI) and Shenzhen Component Index (SZCI) can affect Hang Seng Index (HSI), and the influence appears to be a strong nonlinear characteristics.

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Section: Introductionmentioning

confidence: 89%

A multivariate cointegration time series model and its applications in analysing stock markets in China

Zhao

Han

2020

Economic Research-Ekonomska Istraživanja

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“…The recent research attempted to explore this relationship with different methods. For example, (Katircioğlu et al, 2018) have checked Turkey's value of environmental quality fiscal instruments utilizing linear ARDL (Ullah et al, 2021). Consult with the asymmetrical or non-linear autoregressive distributed lag (NARDL) method for these two parameters' asymmetric effect in Pakistan.…”

Section: Literature Reviewmentioning

confidence: 99%

The Fiscal Hedging and Green Financing: Sustainability Challenges for Developing World

Chunyu

Ali

Tan

et al. 2022

Front. Environ. Sci.

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The global community has set intensive targets in Sustainable Development Goals (SDGs) to better people’s lives after closing the Millennium Development Goals (MDGs). It corresponds to the 2030 aspirations of the United Nations to enhance and promote the sustainable development of human society. The current paper explores the impact of fiscal hedging and R&D in energy Using a green-energy system in SDGs. To do this, we used TOPSIS and QARDL methodologies on a 21-year dataset of South and Southeast Asian economies from 2000 to 2020. The study results show that fiscal hedging contributes favourably to the environmental degradation of the underlying economy. Research and development (R&D) in renewables has contributed negatively to ecological degradation and SDGs in the economies of South & Southeast Asia. This study suggests policy guidelines for advanced and developing economies based on fiscal stability and technical innovation through R&D to meet SDG.

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“…The role of financial markets in the economies has been extensively investigated, mainly using the finance-led growth hypothesis. It has been argued that the financial sector is of great importance for the development of economies (Katircioglu et al, 2018c). Patrick (1966) proposed two hypotheses with this respect, which are:…”

Section: Literature Reviewmentioning

confidence: 99%

Spillover effects of financial development on the informal economic activity

Katırcıoğlu

İmamoğlu²

2020

IMEFM

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Purpose This study aims to investigate the role and spillover effects of the financial sector on the size of the informal economic activity in Turkey. Design/methodology/approach Time series analysis has been adopted for annual data of the 1970-2017 period. New approaches in unit root and cointegration tests have been used in this study. Estimations have been done via dynamic ordinary least squares and fully modified ordinary least square approaches. Findings Results confirm the existence of a long-run equilibrium relationship between the financial system and informal economic activities in Turkey. At the earlier stages of financial development (FD), informality tends to rise while in further stages, informality tends to decline over time. This study confirms the U-shaped relationship between FD and the informal economy in Turkey. Research limitations/implications This study has used logarithmic values of series in the econometric analysis except for real interest rates because of negative values in some periods. Thus, by using level forms of real interest, missing values would be avoided. Practical implications Increasing efficiency, control and institutional quality, as well as the quality of governance environment, would be useful tools in reducing the size of informality, as this study finds that spillover effects of financial services on the informal economic activity are adverse. Originality/value This study is the first of its kind to the best of the knowledge in the case of Turkey, which estimates the spillover effects of FD on informal economic activity.

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Interactions between oil prices and financial sectors’ performances: empirical evidence from Amman Stock Exchange

Cited by 12 publications

References 12 publications

A multivariate cointegration time series model and its applications in analysing stock markets in China

A multivariate cointegration time series model and its applications in analysing stock markets in China

The Fiscal Hedging and Green Financing: Sustainability Challenges for Developing World

Spillover effects of financial development on the informal economic activity

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