The impacts of foreign portfolio flows and monetary policy responses on stock markets by considering COVID-19 pandemic: Evidence from Turkey

Kartal, Mustafa Tevfik; Ertuğrul, Hasan Murat; Ulussever, Talat

doi:10.1016/j.bir.2021.06.003

Cited by 26 publications

(6 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to M.T. Kartal et al (2022), foreign investment in a countryʼs economy is a catalyst for accelerated social and economic development, while M.I. Marobne and J.M.P.…”

Section: Discussionmentioning

confidence: 99%

Untitled

2024

SLS

View full text Add to dashboard Cite

The relevance of this study is determined by the current instability of the global political climate in the world and the outbreak of a number of military conflicts, which necessitates the study of the mechanisms of activity of structures that protect the interests of the population and the state. Thus, the purpose of the paper is to analyse the algorithm for the activities of civil defence authorities, particularly in wartime conditions. Among the methods used are the methods of logical analysis, deduction, synthesis, induction, functional analysis, analogy. This study provides a detailed analysis of the importance and key role played by civil protection agencies in addressing the challenges of protecting, ensuring security and developing society. The importance of their function lies in the effective implementation of strategies aimed at protecting the population and the state in times of threat and danger. The analysis in this paper takes into account the various components necessary for the successful management of various types of warfare. This includes the study of effective strategies for interaction and coordination between civil protection authorities and military command and control. Particular attention is paid to the key factors that determine the effectiveness of the organisation of interaction between military authorities and protection commissioners. Similarly, significant was the analysis of the demand for the resolution of qualitative foresight implementation tasks. Accordingly, an algorithm that will provide a more detailed and relevant examination of the wartime operational algorithm of the governing bodies has been developed. The practical value of the obtained results is that it will increase the appropriate level of combat alertness, the guarantor of the protection of the national interests of the state and its population, its territorial integrity and will generally raise the level of effectiveness of the relevant bodies considered

show abstract

“…According to M.T. Kartal et al (2022), foreign investment in a countryʼs economy is a catalyst for accelerated social and economic development, while M.I. Marobne and J.M.P.…”

Section: Discussionmentioning

confidence: 99%

Untitled

2024

SLS

View full text Add to dashboard Cite

show abstract

“…They used Correlation (RHO) and R 2 value as the main metrics for performance evaluation. Kartal et al (2021) applied the Nonlinear Autoregressive Distributed Lag (NARDL) model on a dataset consisting of the daily volatility index, swap spreads and exchange rates between 2017 and 2020. They reported using Markov Switching Regression (MSR) for robustness Forecasting for stock market prices testing.…”

Section: Ijicc 164mentioning

confidence: 99%

An application on forecasting for stock market prices: hybrid of some metaheuristic algorithms with multivariate adaptive regression splines

Sabancı

Kılıçarslan

Adem

2023

IJICC

View full text Add to dashboard Cite

PurposeBorsa Istanbul 100 Index, known as BIST100, is the main indicator to measure the performance of the 100 highest stocks publicly traded in Borsa Istanbul concerning market and trading volume. BIST 100 index prediction is a popular research domain for its complex data structure caused by stock price, commodity, interest rate and exchange rate effects. The study proposed hybrid models using both Genetic, Particle Swarm Optimization, Harmony Search and Greedy algorithms from metaheuristic algorithms approach for dimension reduction, and MARS for prediction.Design/methodology/approachThis paper aims to model in the simplest way through metaheuristic algorithms hybridized with the MARS model the effects of stock, commodity, interest and exchange rate variables on BIST 100 during the Covid-19 pandemic period (in the process of closing) between January 2020 and June 2021.FindingsThe most suitable hybrid model was chosen as PSO & MARS by calculating the RMSE, MSE, GCV, MAE, MAD, MAPE and R2 measurements of training, test and overall dataset to check every model's efficiency. Empirical results demonstrated that the proposed PSO & MARS hybrid modeling procedure gave results both as good as the MARS model and a simpler and non-complex model structure.Originality/valueUsing metaheuristic algorithms as a supporting tool for variable selection can help to identify important independent variables and contribute to the establishment of more non-complex models.ing, test and overall dataset to check every model's efficiency.

show abstract

“…This research showed that the emergence of the disease severely weakens the transmission of monetary policy to the financial markets and also during the outbreak of COVID-19 conventional and unconventional monetary policies have been influential in all four financial markets, which include the government bond market, the foreign exchange market, the swap credit market and the stock market but unconventional monetary policies slightly had a greater impact on the stock market and the foreign exchange market. Kartal et al (2022) examined the effect of monetary policy implementation on the Turkish stock market during the outbreak of COVID-19 disease by the Markov switching regression method. The results…”

Section: Literature Reviewmentioning

confidence: 99%

Uncertainty governance in the stock market during the COVID-19: evidence of the strictest economies in the world

Owjimehr

Dastfroosh

2022

CFRI

View full text Add to dashboard Cite

PurposeAccording to the Government Response tracker (oxCGRT) index, the strictest policy responses to the coronavirus pandemic from January 2020 to May 2022 belong to Italy, China, Hong Kong, Greece, Austria, Peru, Singapore and Malaysia. The main question is: “this level of strictness has been able to reduce the uncertainty of the stock market?”Design/methodology/approachTo achieve this goal, the authors investigated the effect of oxCGRT index, and the growth rate of COVID-19 confirms cases on stock market uncertainty from January 2020 to May 2022 in the GARCH, EGARCH and TGARCH models.FindingsAmong these countries, the oxCGRT index has reduced uncertainty in the stock market only in Malaysia and Singapore. This result says an appropriate pattern of applying government policy responses is more important than the degree of stringency.Originality/valueThe study will contribute to the existing literature by examining the impact of the comprehensive oxCGRT index on the uncertainty of the stock market.

show abstract

The impacts of foreign portfolio flows and monetary policy responses on stock markets by considering COVID-19 pandemic: Evidence from Turkey

Cited by 26 publications

References 37 publications

Untitled

Untitled

An application on forecasting for stock market prices: hybrid of some metaheuristic algorithms with multivariate adaptive regression splines

Uncertainty governance in the stock market during the COVID-19: evidence of the strictest economies in the world

Contact Info

Product

Resources

About