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Nexus between Cryptocurrency Markets and Hedge Funds in Period Before and During Russia-Ukraine War Stefanus Chandra Wibowo; Robiyanto Robiyanto; Andrian Dolfriandra Huruta; Triyanto Triyanto
Media Ekonomi dan Manajemen Vol 40, No 2 (2025): July 2025
Publisher : Fakultas Ekonomika dan Bisnis UNTAG Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56444/mem.v40i2.5476

Abstract

The purpose of this study is to identify the pre- and post-war impact of the Russia-Ukraine war on the interaction between cryptocurrencies, cryptocurrency hedge funds, and traditional hedge funds. This study provides a deeper understanding of how geopolitical events can affect the behavior of financial markets involving cryptocurrencies and hedge funds. In addition, this study also seeks to fill the knowledge gap that exists in the current literature, specifically with regards to hedge fund strategies during specific geopolitical conflicts. This study utilizes secondary data involving the cryptocurrency hedge fund index, global hedge fund index, and eight proposed hedge fund strategies. The study period runs from February 2018 to July 2023. Granger Causality Test and ARDL used in this study. The finding shows that there is a significant relationship between cryptocurrency hedge funds and conventional hedge funds. Statistical analysis revealed cointegration between cryptocurrency hedge funds and conventional hedge funds, indicating a significant long-term relationship. This study identified a significant impact of changes in market behavior before and after the Russia-Ukraine war on cryptocurrency hedge funds.
Determinants of United States - Indonesia Equity Market’s Dynamic Correlation: The Role of Commodities and Exchange Rate’s Volatilities Robiyanto Robiyanto; Essy Indah Pangesti; Harijono Harijono; Budi Frensidy
Media Ekonomi dan Manajemen Vol 38, No 2 (2023): July 2023
Publisher : Fakultas Ekonomika dan Bisnis UNTAG Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56444/mem.v38i2.3595

Abstract

This study aims to analyze the effect of oil price volatility, gold price volatility and exchange rate volatility on the dynamic relationship between Indonesian and United States capital market. The data used in this study are daily closing prices of oil, gold and exchange rates (USD/IDR) as well as Indonesian capital market (JKSE) and United States capital market (DJIA) composite indices during period of January 2005 to October 2020. This study uses DCC-GARCH method to calculate the dynamic correlation between two capital markets and GARCH with the GED parameter to analyze oil volatility, gold volatility and exchange rate volatility on the integration of Indonesian capital market and United States capital market. The results of this study show positive and strong results on the integration of Indonesian and United States capital markets, thus proving that the movements of Indonesian market and American market tend to be strong and mutually influence the two capital markets. Moreover, the oil, gold and exchange rates volatilities have a negative effect on the integration of the Indonesia capital market and the US capital market. This finding implies investors should take oil, gold and exchange rates volatilities in their investment consideration.
Revisit the Dynamic Portfolio Formation between Gold and Stocks in Indonesia in the Period Before and During the COVID-19 Pandemic Ashalia Fitri Yuliana; Robiyanto Robiyanto
JASF: Journal of Accounting and Strategic Finance Vol. 5 No. 1 (2022): JASF (Journal of Accounting and Strategic Finance) - June 2022
Publisher : Accounting Department, Faculty of Economics and Business, Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/jasf.v5i1.161

Abstract

This research aims to review the formation of the dynamic portfolio of individual stocks and gold using the DCC-GARCH and ADCC-GARCH analysis techniques in the periods before and during the COVID-19 pandemic. This is done so that individual investors and investment managers will be able to apply this method. This research uses data from the period of October 2019 - September 2020 with a research sample of nine stocks that are included in the IDX-30. The results showed that the DCC-GARCH analysis technique before the COVID-19 pandemic and the performance of the dynamic portfolios that were unhedged and hedged had nodifference. This is due to the conditions in the period before the COVID-19 pandemic which still tended to be stable, thus, no safe-haven asset is needed. Meanwhile, in the period during the COVID-19 pandemic, using the DCC-GARCH analysis technique, there were differences because conditions started to fluctuate in uncertainty which resulted in the need for safe-haven assets. On the other hand, using the ADCC-GARCH analysis technique on the periods before and during the COVID-19 pandemic, the performance of the dynamic portfolios that were unhedged and hedged showed a difference. Because the ADCC-GARCH technique is able to see asymmetric volatility for the future, adding gold to a portfolio can reduce risk when there is uncertainty. This research also found that the ADCC-GARCH technique had better performance than the DCC-GARCH technique.
Cryptocurrencies as a Hedge and Safe Haven Instruments during Covid-19 Pandemic Nensya Yuhanitha; Robiyanto Robiyanto
JASF: Journal of Accounting and Strategic Finance Vol. 4 No. 1 (2021): JASF (Journal of Accounting and Strategic Finance) - June 2021
Publisher : Accounting Department, Faculty of Economics and Business, Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/jasf.v4i1.129

Abstract

This study examines the potential of cryptocurrencies such as Bitcoin, Ethereum, ripple, tether, and Bitcoin cash as hedging instruments and a safe haven for the Indonesian capital market, especially during the Covid-19 pandemic era. Now, Indonesia's capital market condition is in turbulence. The benefit of this research is to help the investors make decisions on which cryptocurrencies can be an instrument hedge and safe haven in this Covid-19 pandemic era for Indonesia Stock Exchange (IDX). The data used in this study are data on the closing price of the Composite Stock Price Index (CSPI), bitcoin (BTC), Ethereum (ETH), ripple (XRP), tether (USDT), and bitcoin cash (BCH) from January 3 to June 16, 2020. Data analysis used Generalized AutoregressiveConditional Heteroscedasticity (GARCH) and Quantile Regression (QREG). This study found that Bitcoin, Ethereum, tether, and Bitcoin cash can act as a hedge, but only the ripple cannot act as a hedge. Bitcoin, Ethereum, ripple, tether, and bitcoin cash cannot act as a safe haven when the Indonesian capital market was getting extreme, like during the Covid-19 pandemic era. The roles of Bitcoin, Ethereum, ripple, tether, and bitcoin cash as safe havens will fade when conditions in the Indonesian capital market become more extreme. This research can be used as a reference for investors for their investments by looking top four cryptocurrencies as a hedging instrument. However, in severe conditions such as during the Covid-19 Pandemic, the top five cryptocurrencies cannot be used as a safe haven, as revealed in this study.
Day-of-the-Week-Effect and Month-of-the-Year-Effect on Carbon Emissions Contract Trading Kezia Maylani Azalia; Robiyanto Robiyanto
Journal of Management and Entrepreneurship Research Vol. 5 No. 1 (2024)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jmer.2024.6.05.1-44

Abstract

Objective: This study aims to examine whether there is a potential Day-of-the-Week-Effect and Month-of-the-Year-Effect on carbon emissions trading. Research Design & Methods: This research uses secondary data obtained through the Investing.com website. The carbon market data used is daily closing data, then the daily effect test is carried out, and monthly closing data to determine the monthly effect. Generalized Autoregressive Conditional Heteroskedasticity (GARCH) (2,1) and (3,1) method used to analyse the data. Findings: The correlogram and GARCH (2,1) and GARCH (3,1) test results show that the carbon market does not move randomly, but there are Day-of-the-Week-Effect and Month-of-the-Year-Effect phenomena. From this study, it was also found that on Wednesday in April, there was a significant increase in returns. So, it can also be concluded that the carbon market is not efficient. Implications and Recommendations: There are opportunities that can be taken from carbon trading which turns out to have a Day-of-the-Week-Effect and Month-of-the-Year-Effect so that investors who want to join carbon trading can more easily learn about it to get maximum profit in the carbon market. Contribution & Value Added: It is hoped that the results of this study can prove whether or not there is an influence on seasonal patterns so that it can be useful for speculators and business people related to carbon trading to design the right strategy in the carbon emissions market.
Carbon Productivity’s Impact on Company's Financial Performance (Case Study of Companies Listed on IDX80 Stock Index) Djie Liveren Adjie Tehananda; Robiyanto; Harijono Harijono
Journal of Management and Entrepreneurship Research Vol. 5 No. 2 (2024)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jmer.2024.12.05.2-53

Abstract

Objective: Environmental issues are a concern, especially global warming. One of the consequences of global warming is a significant increase in carbon emissions each year. However, investors are trying to understand whether increased carbon also improves companies' financial performance. This study seeks to investigate the influence of carbon productivity on the company’s financial performance (case study of companies listed on the IDX80 index). Research Design & Methods: This research uses a quantitative method with secondary data taken from the company's annual and sustainability reports from 2020 to 2023. The sampling method used is the purposive sampling method. The sample used in this research was 80 companies listed on the IDX80 Index. Panel Data Regression Analysis is used to analyze the data. Findings: The findings of the study indicated carbon productivity has no significant effect on company financial performance, whether measured through ROA or MBR On the other hand, when control variables are added, they have a significant effect on the company's financial performance as measured through ROA. Implications and Recommendations: From these findings, stakeholders, investors and financial managers in the Indonesian capital market can help in making investment decisions, especially regarding the influence of carbon productivity on financial performance and for stakeholders. Contribution & Value Added: This study adds value to the practice of finance that seeks to see that companies that disclose higher carbon emissions will affect the company's financial performance in the context of developing countries, especially Indonesia.
Co-Authors A. Harijono Adi Cahya Stefanus Adi Rahadi Putra Adiputri, Bio Labora Afi Virna Noviani Akhmadi Akhmadi Alfi Syahri Alfi Syahri Andrian Dolfriandra Huruta Anggraeny, Wafa Anggreini Pamilangan Anisha Cahyaningrum Apriani Dorkas Rambu Atahau Ardilla Putri Naina Sari Ashalia Fitri Yuliana Ashalia Fitri Yuliana Ashalia Fitri Yuliana Bagas Ari Nugroho Bonita Restu Dwijayati Budi Frensidy Budi Frensidy, Budi Cahyono, Aji Wikan Christina, Olivia Christopher Anthony Surya Dharma Dea Prastica Alsyahrin Dilla Andharini Dismas Oktavianto Djie Liveren Adjie Tehananda Eka Handriani Enrico Pranata Adiwidjojo Essy Indah Pangesti Etheldreda Gladys Salvatori Eva Nurlita Eva Nurlita Fahmi Ihwanul Arifin Fahmi Ihwanul Arifin Farrel Tegar Giovanni Fatikasari, Imania Gabriela Elvina Dwiastuti Siahaan Hadi, Natanael Kristolife Ardana Handayani, Heny Handriani, Eka Hans Hananto Andreas Happy Catherine Harijono Harijono Harjum Muharam Hartanto, Aldhi Fajar Heny Handayani Hizkisevia Ayu Cahyapuspita Irene Rini Demi Pangestuti Isna Anggita Jenifer Christiani Bowa Kezia Maylani Azalia Kezia Viona Sugiyanto Kristiana Oktavia Kristiana Oktavia Kumar, Joseph John Allwyn Lakaba, Angriana Maria Magdalena Marwanti Mesakh Prihanto Surya Putra Mikha Mandela Kapahang Naufal Dwinanda Narra Putra Nensya Yuhanitha Nila Listiana Nurlita, Eva Nurohman Nurohman P Purwanto Pamilangan, Anggreini Patrisinus Ceasar Gunadi Paulus Hartono Petrus Wijayanto Prayogo Prayogo Rihfenti Ernayani Ryan Bagas Wikantyoso Samuel Martono Silvia Putri Faridayanti Sintikhe Mega Treisya Siska Gita Pratiwi Siska Gita Pratiwi Siti Puryandani Stefan, Yonatan Alvin Stefanus Chandra Wibowo Stefanus, Adi Cahya Stefany Cindy Sugiyanto Sudjinan Sudjinan Sugeng Wahyudi, Sugeng Suryani, Cyndi Susanto, Auberta Danice Triyanto Triyanto Triyanto Ullanchiang Meillenia Tumbal Venina Cindy Kusumawati Vicho Dwindra Arisandhi Wafa Anggraeny Wisnu Mawardi Yahya Rechtiawan Djari Yefta Andi Kus Noegroho Yehezkiel Chris Setiawan Yonatan Alvin Stefan Yonatan Alvin Stefan Yosua Arif Susanto Yunita Yunita Yunita Yunita Yunita Yunita Yuvica Lara Rovantiane Yuvica Lara Rovantiane Adicondro Zuwan Nisfu Nahar