Muhammad Enamul Haque’s research while affiliated with United International University and other places

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Publications (4)


Timeline for an event study.
Abnormal returns (AR) and cumulative abnormal returns (CAR) on the event window for the following indices: (a) HSI, (b) JPXNK400, (c) KSE100, (d) BSESN, (e) CSI300, and (f) STI.
Aggregated abnormal returns (AAR) and cumulative aggregated abnormal returns (CAAR) over the event window for the sample covered.
A Giant Falls: The Impact of Evergrande on Asian Stock Indexes
  • Article
  • Full-text available

July 2022

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165 Reads

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6 Citations

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Muhammad Enamul Haque

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The economic growth of China has been driven by the development of its real estate market, especially after the 2008 crisis. This growth is mostly related to the huge housing bubble and growing amounts of sovereign debt that have been redirected to corporations in the sector. Evergrande is one of those corporations; it is a Chinese company in the construction and real estate sector, a global giant with investments in many parts of the world. Its bond default in September 2021 sounded alerts in financial markets. Several news outlets spoke of the “next Lehman Brothers”, and apprehension was very high, especially in Asian markets. This research work aims to evaluate the impact of Evergrande’s bond default on six Asian stock markets, using an event study approach. The results show a strong reaction from the markets towards the event in study, even anticipating it. Furthermore, it is worth mentioning a quick reversion to “normal” behavior, indicating the rapid absorption of information by the markets.

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Examination of Bank-Specific and Macroeconomic Determinants of Islamic Banks Profitability in Bangladesh: A Panel Data Approach

December 2018

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17 Reads

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1 Citation

Asian Journal of Empirical Research

Islamic banks have continued to demonstrate tremendous growth over the last decade as reflected by its increasing market shares in terms of deposits and investments compared to the total banking system. This study makes an effort to examine the bank-specific and macroeconomic determinants of eight full-fledged Islamic banks profitability in Bangladesh applying two static linear panel data approaches. The study uses return on assets, return on equity and net investment margin as measures of profitability. The results indicate that bank-specific variables such as capital to risk based assets, liquidity, bank size, and operating efficiency are highly correlated with Islamic banks profitability. Both the macroeconomic variables are found to be statistically nugatory and do not have any influence to affect the Islamic bank profitability.

Citations (3)


... There is even a high risk of a chain reaction caused by instability in the sector. Even the Chinese building construction sector, which initially demonstrated reliable and sustainable development, is showing signs of struggle as one of its biggest developers has faced the threat of bankruptcy; struggling to remain in business, this developer is now receiving support from the Chinese government [11]. While developers are trying to regain the public's trust as a last resort to return to normal, they are faced with numerous lawsuits filed by citizens because they have failed to complete contractual obligations. ...

Reference:

Construction Cost Index: Political, Economic, and Financial Risk Indices Within the European Continent
A Giant Falls: The Impact of Evergrande on Asian Stock Indexes

... Although research on factors affecting bank profitability is several in advanced economies, there needs to be more research in emerging economies [4]. Knowing the factors that affect bank profitability is crucial and fundamental for policymakers since the banking sector's stability is essential to the economy's survival as a whole [52]. As a result, researchers used a variety of criteria to assess the significant factors that influence the continuity and steady performance of financial institutions. ...

Examination of Bank-Specific and Macroeconomic Determinants of Islamic Banks Profitability in Bangladesh: A Panel Data Approach
  • Citing Article
  • December 2018

Asian Journal of Empirical Research

... As such, the autoregressive fractionally integrated moving average and fractionally integrated GARCH (FIGARCH) model performances were better than that of the traditional GARCH models in terms of forecasting the volatility of the South African stock market. The conditional volatility of equity returns in Bangladesh was modeled to assess the presence of riskreturn trade-off, asymmetric effects and long memory property from 2004 to the end of 2020 (Haque and Farzana, 2021). The authors found that fractionally integrated exponential GARCH (FIEGARCH) and fractionally integrated asymmetric power autoregressive conditional heteroskedasticity (FIAPARCH) models outperform the other FIGARCH specifications in terms of modeling the conditional volatility of the Dhaka Stock Exchange and Shariah index returns. ...

Modeling Asymmetric Effects and Long Memory in Conditional Volatility of Dhaka Stock Exchange: New Evidence from Family of FIGARCH Models

Universal Journal of Accounting and Finance