liu.seSearch for publications in DiVA
Change search
Link to record
Permanent link

Direct link
Ahmed, Ali, ProfessorORCID iD iconorcid.org/0000-0002-1798-8284
Alternative names
Publications (10 of 68) Show all publications
Dutta, A., Bhuiyan, M. R., Ahmed, A. & Uddin, G. S. (2024). Climate risk and sustainable investing: new evidence from Chinese renewable energy firms. In: H. Phoumin, F. Taghizadeh-Hesary, & F. Kimura (Ed.), Green Finance and Renewable Energy in ASEAN and East Asia: (pp. 57-79). Routledge
Open this publication in new window or tab >>Climate risk and sustainable investing: new evidence from Chinese renewable energy firms
2024 (English)In: Green Finance and Renewable Energy in ASEAN and East Asia / [ed] H. Phoumin, F. Taghizadeh-Hesary, & F. Kimura, Routledge, 2024, p. 57-79Chapter in book (Refereed)
Abstract [en]

While numerous empirical papers have investigated the volatility dynamics of Chinese clean energy equity markets, this is among the first studies to assess the impact of climate uncertainty on the risk levels of such assets. Given that China is extensively investing in green projects to achieve carbon neutrality, this strand of research offers important implications for investors and policymakers. Methodologically, we employ the GARCH-MIDAS model to examine the effect of the climate policy uncertainty (CPU) index on the volatility levels of the Chinese clean energy exchange-traded fund (ETF). We compare the effects of the CPU index with leading uncertainty indicators, including the crude oil volatility index, geopolitical risk, and technology sector volatility. The in-sample and out-of-sample analyses show that CPU has significant predictive contents for forecasting the volatility of renewable energy ETF and that the GARCH-MIDAS-CPU process outperforms other approaches. These results offer key implications for policymakers and socially responsible investors.

Place, publisher, year, edition, pages
Routledge, 2024
National Category
Economics
Identifiers
urn:nbn:se:liu:diva-199917 (URN)10.4324/9781003397670-4 (DOI)1032502681 (ISBN)
Available from: 2024-01-04 Created: 2024-01-04 Last updated: 2024-02-01Bibliographically approved
Jayasekera, R., Luo, T., Ahmed, A. & Uddin, G. S. (2024). Green bond underlying volatility swaps in China. In: H. Phoumin, F. Taghizadeh-Hesary, & F. Kimura (Ed.), Green Finance and Renewable Energy in ASEAN and East Asia: (pp. 80-103). Routledge
Open this publication in new window or tab >>Green bond underlying volatility swaps in China
2024 (English)In: Green Finance and Renewable Energy in ASEAN and East Asia / [ed] H. Phoumin, F. Taghizadeh-Hesary, & F. Kimura, Routledge, 2024, p. 80-103Chapter in book (Refereed)
Abstract [en]

China is promoting carbon neutrality to cope with environmental degradation and economic loss, issuing more green bonds than any other country to finance its green transformation. Uncertainty affects green bonds more than traditional bonds, including policy uncertainty, natural disasters, and energy crises. This chapter advocates green bond underlying volatility swaps, a derivative that allows investors to trade green bond price volatility, which market participants can use for hedging. We propose a framework for forecasting realized volatility by demonstrating that Chinese green bonds are highly homogeneous, making them useful in such forecasting and thus guiding trading in such swaps. We also examine the forecasting performance of a novel model, RVNET-GARCH, which synthesizes multiple green bonds’ historical realized volatility into a network factor. Testing for robustness with three Monte Carlo simulations and six rolling horizons shows that the proposed methodology can provide reliable results.

Place, publisher, year, edition, pages
Routledge, 2024
National Category
Economics
Identifiers
urn:nbn:se:liu:diva-199922 (URN)10.4324/9781003397670-5 (DOI)
Available from: 2024-01-04 Created: 2024-01-04 Last updated: 2024-02-08Bibliographically approved
Lucey, B., Yahya, M., Khoja, L., Uddin, G. S. & Ahmed, A. (2024). Interconnectedness and risk profile of hydrogen against major asset classes. Renewable & sustainable energy reviews, 192, Article ID 114223.
Open this publication in new window or tab >>Interconnectedness and risk profile of hydrogen against major asset classes
Show others...
2024 (English)In: Renewable & sustainable energy reviews, ISSN 1364-0321, E-ISSN 1879-0690, Vol. 192, article id 114223Article in journal (Refereed) Published
Abstract [en]

This study examines the interconnectedness and risk profile of hydrogen in comparison to other assets from December 2019 to April 2022, using a time-varying copula approach. The findings reveal that hydrogen's relationships with conventional commodities and markets can shift significantly during extreme uncertainty. The COVID-19 pandemic had a marked impact on hydrogen's market connections. However, hydrogen did not uniformly increase linkages, highlighting its distinct profile even as an energy commodity. Despite its sensitivity to crises, hydrogen's reactions were varied, emphasizing the necessity for customized interpretations. Calculation of value-at-risk, conditional value-at-risk and Delta CoVaR demonstrated that green bonds exhibited the lowest investment risks across frequencies, which can be attributed to factors such as government support and growing demand. In the case of hydrogen, the risk metrics were inconsistent, reflecting its status as an early-stage adoption asset with niche applications in transportation and industry. These findings have key implications for managing risk associated with energy transition and for facilitating the adoption of hydrogen. The empirical insights provided herein can aid policymakers in developing supportive regulations and incentives to expedite the scaling of hydrogen. Moreover, Investors can leverage hydrogen's risk quantification for portfolio optimization and hedging strategies. Overall, by elucidating hydrogen's unique dynamics, this study informs stakeholder decisions to facilitate the hydrogen economy.

Place, publisher, year, edition, pages
PERGAMON-ELSEVIER SCIENCE LTD, 2024
Keywords
Hydrogen; Sustainability; Green investment; Interconnectedness; Systemic risk; COVID-19
National Category
Economics
Identifiers
urn:nbn:se:liu:diva-199916 (URN)10.1016/j.rser.2023.114223 (DOI)001152065400001 ()
Available from: 2024-01-04 Created: 2024-01-04 Last updated: 2024-02-23
Ahmed, A., Lundahl, M. & Wadensjö, E. (2023). Ethnic discrimination during the Covid-19 pandemic. In: Lin Lerpold, Örjan Sjöberg, & Karl Wennberg (Ed.), Migration and Integration in a Post-Pandemic World: Socioeconomic Opportunities and Challenges: (pp. 291-314). Cham: Palgrave Macmillan
Open this publication in new window or tab >>Ethnic discrimination during the Covid-19 pandemic
2023 (English)In: Migration and Integration in a Post-Pandemic World: Socioeconomic Opportunities and Challenges / [ed] Lin Lerpold, Örjan Sjöberg, & Karl Wennberg, Cham: Palgrave Macmillan , 2023, p. 291-314Chapter in book (Refereed)
Abstract [en]

Ethnic discrimination is common in labor and housing markets. It leads to lower wages and higher unemployment for ethnic minorities, to segregation in the labor market, and to residential segregation. Several studies show that the Covid-19 pandemic increased the extent of ethnic discrimination. The prejudice against hiring migrants may have increased because people from countries where the epidemic started or from countries with a lower vaccination coverage were blamed for the spread. It may also have increased in the cases where the Covid-19 pandemic led to higher unemployment making it less costly for employers to discriminate.

Place, publisher, year, edition, pages
Cham: Palgrave Macmillan, 2023
Keywords
Discrimination, Prejudice, Coronavirus, Covid-19, Pandemic, Labor market discrimination, Housing segregation
National Category
Economics
Identifiers
urn:nbn:se:liu:diva-199812 (URN)10.1007/978-3-031-19153-4_11 (DOI)9783031191527 (ISBN)9783031191534 (ISBN)
Available from: 2023-12-21 Created: 2023-12-21 Last updated: 2024-06-19Bibliographically approved
Ahmed, A. & Hammarstedt, M. (2023). Labor market discrimination: method and measurement. In: Tor Eriksson (Ed.), Elgar Encyclopedia of Labour Studies: (pp. 106-109). Edward Elgar Publishing
Open this publication in new window or tab >>Labor market discrimination: method and measurement
2023 (English)In: Elgar Encyclopedia of Labour Studies / [ed] Tor Eriksson, Edward Elgar Publishing, 2023, p. 106-109Chapter in book (Refereed)
Abstract [en]

The development of methods for detecting labour market discrimination is characterized by a shift from observational data to different forms of experimental data. At the same time, there has been a shift from examining differences in treatment of groups of employees to differences in hiring.

Observational data are associated with omitted variable problems. Field experiments in the form of audit and correspondence studies give better control of what is observed by both employers and the researcher. A limitation is that they can typically be employed only for certain types of (low-skill, early career) jobs and the initial (call-back) stage of the hiring process. Another is that employers’ beliefs cannot be controlled for. Natural and lab experiments can address some of these concerns. Most studies are not able to distinguish theories of between taste-based and statistical discrimination.

Place, publisher, year, edition, pages
Edward Elgar Publishing, 2023
Keywords
Discrimination in labour markets; Taste-based discrimination; Statistical discrimination; Measurement; Differences in hiring; Correspondence studies, Diskriminering på arbetsmarknaden
National Category
Economics
Identifiers
urn:nbn:se:liu:diva-199814 (URN)9781800377530 (ISBN)9781800377547 (ISBN)
Available from: 2023-12-21 Created: 2023-12-21 Last updated: 2024-03-05Bibliographically approved
Hammarstedt, M. & Ahmed, A. (2023). Labour market discrimination: ethnicity and race. In: Tor Eriksson (Ed.), Elgar Encyclopedia of Labour Studies: (pp. 115-117). Edward Elgar Publishing
Open this publication in new window or tab >>Labour market discrimination: ethnicity and race
2023 (English)In: Elgar Encyclopedia of Labour Studies / [ed] Tor Eriksson, Edward Elgar Publishing, 2023, p. 115-117Chapter in book (Refereed)
Abstract [en]

To what extent are differences in employment and earnings of persons with different ethnic background or race than the majority population due to discrimination? Differences between ethnic groups are often related to integration of first or second generation immigrants with differences in education, skills and social networks in focus. Correspondence studies have documented the prevalence of ethnic and racial discrimination in hiring. Studies of policies to mitigate discrimination by excluding information about applicants’ race or ethnicity show these may have unintended consequences.

Place, publisher, year, edition, pages
Edward Elgar Publishing, 2023
Keywords
Discrimination in labour markets; Ethnicity; Race; Immigrant generation; Discrimination policy, Diskriminering på arbetsmarknaden
National Category
Economics
Identifiers
urn:nbn:se:liu:diva-199813 (URN)10.4337/9781800377547.ch27 (DOI)9781800377530 (ISBN)9781800377547 (ISBN)
Available from: 2023-12-21 Created: 2023-12-21 Last updated: 2024-03-05Bibliographically approved
Ahmed, A. & Hammarstedt, M. (2023). Två av tre klubbar välkomnade barn med typ 1-diabetes. Altinget
Open this publication in new window or tab >>Två av tre klubbar välkomnade barn med typ 1-diabetes
2023 (Swedish)In: AltingetArticle in journal (Other (popular science, discussion, etc.)) Published
National Category
Economics
Identifiers
urn:nbn:se:liu:diva-199815 (URN)
Available from: 2023-12-21 Created: 2023-12-21 Last updated: 2024-04-22Bibliographically approved
Ahmed, A. M., Granberg, M., Troster, V. & Uddin, G. S. (2022). Asymmetric dynamics between uncertainty and unemployment flows in the United States. Studies in Nonlinear Dynamics and Econometrics, 26(1), 155-172
Open this publication in new window or tab >>Asymmetric dynamics between uncertainty and unemployment flows in the United States
2022 (English)In: Studies in Nonlinear Dynamics and Econometrics, ISSN 1081-1826, E-ISSN 1558-3708, Vol. 26, no 1, p. 155-172Article in journal (Refereed) Published
Abstract [en]

This paper examines how different uncertainty measures affect the unemployment level, inflow, and outflow in the U.S. across all states of the business cycle. We employ linear and nonlinear causality-in-quantile tests to capture a complete picture of the effect of uncertainty on U.S. unemployment. To verify whether there are any common effects across different uncertainty measures, we use monthly data on four uncertainty measures and on U.S. unemployment from January 1997 to August 2018. Our results corroborate the general predictions from a search and matching framework of how uncertainty affects unemployment and its flows. Fluctuations in uncertainty generate increases (upper-quantile changes) in the unemployment level and in the inflow. Conversely, shocks to uncertainty have a negative impact on U.S. unemployment outflow. Therefore, the effect of uncertainty is asymmetric depending on the states (quantiles) of U.S. unemployment and on the adopted unemployment measure. Our findings suggest state-contingent policies to stabilize the unemployment level when large uncertainty shocks occur.

Place, publisher, year, edition, pages
Berlin, Germany: Walter de Gruyter, 2022
Keywords
Granger-causality; nonlinear dynamics; quantile regression; uncertainty; unemployment; U.S. labor market
National Category
Economics
Identifiers
urn:nbn:se:liu:diva-183997 (URN)10.1515/snde-2019-0058 (DOI)000776525500008 ()2-s2.0-85092713429 (Scopus ID)
Note

Funding: Spains Ministerio de Educacion, Cultura y DeporteSpanish Government [ECO2017-83255-C3-2-P]; Jan Wallander and Tom Hedelius Foundation [W2016-0364:1]

Available from: 2022-04-01 Created: 2022-04-01 Last updated: 2022-04-22Bibliographically approved
Uddin, G. S., Yahya, M., Goswami, G. G., Lucey, B. & Ahmed, A. M. (2022). Stock market contagion during the COVID-19 pandemic in emerging economies. International Review of Economics and Finance, 79, 302-309
Open this publication in new window or tab >>Stock market contagion during the COVID-19 pandemic in emerging economies
Show others...
2022 (English)In: International Review of Economics and Finance, ISSN 1059-0560, E-ISSN 1873-8036, Vol. 79, p. 302-309Article in journal (Refereed) Published
Abstract [en]

The purpose of this paper is to examine the connected dynamics of the affected Asian financial markets and global financial market in relation to the outbreak of the coronavirus (COVID-19) pandemic. We particularly examine the temporal dependence and connectedness of the affected markets with the global financial market by using the time-varying dependence approach in a time-frequency space under COVID-19. Our findings indicate a strong, positive dependence among the investigated markets’ due to the outbreak of COVID-19. In addition, we report an increased tendency of co-movements over the higher horizon which is documented by COVID-19. These findings are of significant interest for market participants, policymakers, and international investors.

Place, publisher, year, edition, pages
Amsterdam, Netherlands: Elsevier, 2022
Keywords
COVID-19, Financial market, Emerging markets, China, Copula, Cross-quantilograms
National Category
Economics
Identifiers
urn:nbn:se:liu:diva-183149 (URN)10.1016/j.iref.2022.02.028 (DOI)000761098600015 ()2-s2.0-85124734224 (Scopus ID)
Available from: 2022-02-23 Created: 2022-02-23 Last updated: 2022-03-23Bibliographically approved
Ahmed, A. M. & Hammarstedt, M. (2021). Are people fussy about who they work with? An experimental test of Becker’s coworker discrimination hypothesis. The Social Science Journal, 58(4), 477-483
Open this publication in new window or tab >>Are people fussy about who they work with? An experimental test of Becker’s coworker discrimination hypothesis
2021 (English)In: The Social Science Journal, ISSN 0362-3319, E-ISSN 1873-5355, Vol. 58, no 4, p. 477-483Article in journal (Refereed) Published
Abstract [en]

We used an experiment to investigate whether people’s decisions over employment opportunities are affected by the ethnicity and sex of their potential future coworkers. University students (N = 1,406) were asked to state the lowest hourly wage rate at which they would be willing to accept a job on a campus food truck, where they would work alongside the food truck owner. The ethnicity and sex of the food truck owners were randomized across participants. Results showed no signs of coworker prejudice in terms of the probability of being interested in the job and reservation wage.

Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2021
Keywords
Coworker discrimination, Experiment, Individual behavior, Sex, Ethnicity
National Category
Economics
Identifiers
urn:nbn:se:liu:diva-161965 (URN)10.1016/j.soscij.2019.06.007 (DOI)000758858500005 ()
Note

Funding: Swedish Research CouncilSwedish Research CouncilEuropean Commission [2018-03487]

Available from: 2019-11-14 Created: 2019-11-14 Last updated: 2024-01-31Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-1798-8284

Search in DiVA

Show all publications