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"This book examines the dynamic relationship and volatility spillovers between crude oil prices, exchange rates and stock markets of India. Unfortunately very little research has been conducted to analyze the volatility spillovers and dynamic relationship between crude oil prices, exchange rates and stock markets of India."

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Studi ini menganalisis hubungan trilateral antara variabel makroekonomi dan pasar modal melalui harga minyak, indeks pasar saham, dan kurs untuk mengamati keterkaitan antar ketiga variabel dalam economic setup Indonesia. Periode yang diselidiki mencakup data deret waktu harian mulai dari 1 januari 2016 hingga 10 Maret 2023. Penelitian ini terdiri dari tiga sub-periode: periode pre-Covid-19 atau sebelum pandemi Covid-19 mulai dari 1 Januari 2016 hingga 8 Maret 2020, periode Covid-19 mulai dari 9 Maret 2020 hingga 10 Maret 2023, dan periode keseluruhan mulai dari 1 januari 2016 hingga 10 Maret 2023 dengan menggunakan model Vector Autoregressive (VAR). Hasil penelitian menunjukkan bahwa harga minyak berubah, maka indeks saham memiliki hubungan negatif signifikan secara statistik selama periode Covid-19 dan periode gabungan. Penelitian ini juga menunjukkan bahwa indeks saham memiliki hubungan negatif pada periode gabungan, hubungan positif pada sebelum pandemi Covid-19, dan hubungan negatif pada saat pandemi Covid-19 terhadap kurs. Penelitian ini memberikan Hasil penelitian ini juga membuktikan bahwa indeks saham berperan sebagai transmission channel pada antara harga minyak ke kurs. Hasil penelitian ini memberikan bantuan pada investor dan trader pasar saham dan forex untuk menganalisis pergerakan harga saham untuk peluang investasi yang lebih baik di masa depan. Selanjutnya, penelitian ini menyajikan relevansi praktis bagi investor pasar saham bahwa ketidakpastian kesehatan dapat berhubungan yang tidak signifikan antara harga minyak dengan indeks pasar saham yang ternyata hubungan ini signifikan selama periode pandemi.

 

 

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This study analyzes the trilateral relationship between macroeconomic and capital market variables through oil prices, stock market indexes, and exchange rates to observe the relationship between the three variables in Indonesia's economic setup . The period investigated includes daily time series data from January 1, 2016 to March 10, 2023. This study consists of three sub-periods: the pre-Covid-19 period or before the Covid-19 pandemic starting from January 1, 2016 to March 8, 2020, the Covid-19 period starting from March 9, 2020 to March 10, 2023, and the overall period starting from January 1, 2016 to March 10, 2023 using the Vector Autoregressive (VAR) model. The results showed that oil prices changed, hence stock indices had a statistically significant negative relationship during the Covid-19 period and the combined period. This research also shows that stock indices have a negative relationship in the combined period, a positive relationship before the Covid-19 pandemic, and a negative relationship during the Covid-19 pandemic to exchange rates. The results of this study also prove that stock indices act as a transmission channel between oil prices to exchange rates. The results of this study provide assistance to investors and traders of the stock market and forex to analyze stock price movements for better investment opportunities in the future. Furthermore, this study presents practical relevance for stock market investors that health uncertainty can be an insignificant relationship between oil prices and stock market indices which turned out to be a significant relationship during the pandemic period.

 

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"Penelitian ini bertujuan menganalisa hubungan kausalitas Granger antara variabel peringkat risiko negara, ketidakpastian kebijakan ekonomi (EPU), sentimen investor dan harga minyak terhadap returns saham secara spesifik di pasar negara berkembang selama periode Januari 2010 hingga Desember 2019 dengan menggunakan model kausalitas nonlinear non-parametrik Granger serta Vector Error Correction Model (VECM), dan hasil dari penelitian menemukan hubungan kausalitas Granger-VECM jangka pendak dan jangka panjang pada variabel harga minyak yang cukup signifikan dalam memprediksi returns saham di pasar negara berkembang serta dibutuhkan penelitian lebih lanjut atas penggunaan Credit Default Swap sebagai proksi variabel peringkat risiko negara dalam memprediksi returns saham.

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This research analyzes the causal relationship between country risk rating, economic policy uncertainty (EPU), investor sentiment, oil prices and equity returns in several emerging markets over  a decade. We use the nonlinear non-parametric Granger causality model and Vector Error Correction model to describe and investigate the causal correlation between country risk rating, economic policy uncertainty, oil prices, and investor sentiment and equity returns at the original level. We find Granger causal relationship-VECM with oil prices to predict stock returns in emerging markets and further research is suggested to investigate the usage of Credit Default Swap as country risk rating proxy to predict stock markets returns."

"Modeling the correlation of assets returns volatilities across different markets or segments of amarket has practical value for portfolio selection and diversification, market regulation, and riskmanagement. This paper therefore evaluates the nature of time-varying correlation between volatilitiesof stock market and crude oil returns in Nigeria using Dynamic Conditional Correlation-GeneralisedAutoregressive Conditional Heteroscedasticity (DCC-GARCH) model. Results from DCCGARCH(1,1) model show evidence of volatility clustering and persistence in Nigeria stock marketand crude oil returns. The results also show that there is no dynamic conditional correlation in ARCHeffects between stock market returns and crude oil prices in Nigeria. The results further show thatthere is strong evidence of time-varying volatility correlation between stock market and crude oilreturns volatility. The findings will help shape policy-making in risk management and market regulationin Nigeria."

"Penelitian ini bertujuan untuk menganalisis hubungan kointegrasi dan kausalitas antara harga emas, harga minyak mentah, nilai tukar Rupiah, dan Produk Domestik Bruto (PDB) tahun 1999-2018. Penelitian ini merupakan penelitian kuantiatif dengan menggunakan data selama 20 tahun yang dimulai dari tahun 1999 hingga 2018. Data pada penelitian ini merupakan data time series dengan menggunakan data kuartal dari tahun 1999 hingga 2018. Teknik analisis yang digunakan meliputi pengujian Augmented Dickey-Fuller Test, Lag Optimum, Johansen Cointegration Test, Vector Error Correction Model (VECM), VEC Granger Causality/Block Exogeneity Wald Test, dan Toda Yamamoto modified Granger Causality. Hasil pada penelitian ini menunjukkan bahwa variabel harga emas, harga minyak mentah, nilai tukar Rupiah, dan Produk Domestik Bruto (PDB) memiliki hubungan kointegrasi dan variabel harga emas memiliki hubungan kausalitas dengan harga minyak mentah dan nilai tukar Rupiah. Selain itu juga terdapat hubungan kausalitas pada Produk Domestik Bruto (PDB) terhadap harga emas. Berdasarkan hasil penelitian, dapat disimpulkan bahwa emas merupakan salah 1 jenis investasi yang tepat dipilih oleh investor yang bertujuan untuk menjaga asetnya agar tidak terdepresiasi. Sementara itu, apabila kondisi nilai tukar mata uang mengalami kondisi paling ekstrim maka pemerintah dapat menerapkan kebijakan moneter dengan cara melakukan apresiasi, revaluasi, dan sterilisai/intervensi nilai mata uang. Saran untuk penelitian selanjutnya adalah dengan menambahkan variabel indeks harga saham.

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This research aims to analyze the cointegration and causality relationship between the price of gold, the price of crude oil, the exchange rate of Rupiah, and the Gross Domestic Product (GDP) in 1999-2018. This research is quantitative research using data for 20 years starting from 1999 to 2018. The data in this study are time series data using quarterly data from 1999 to 2018. The analysis technique used includes testing the Augmented Dickey-Fuller Test, Lag Optimum, Johansen Cointegration Test, Vector Error Correction Model (VECM), VEC Granger Causality / Block Exogeneity Wald Test, and Yamamoto Toda modified Granger Causality. The results of this study indicate that the variable price of gold, crude oil prices, the exchange rate of Rupiah, and Gross Domestic Product (GDP) has a cointegration relationship and the variable price of gold has a causal relationship with crude oil prices and the Rupiah exchange rate. In addition, there is also a causality relationship on Gross Domestic Product (GDP) to the price of gold. Based on the results of the study, it can be concluded that gold is one type of investment that deserves to be chosen by investors who want to buy assets so as not to depreciate. Meanwhile, changing the exchange rates for exchange is the most complicated issue, then replace the exchange money by conducting appreciation, revaluation, and sterilizing / intervening currency values. Suggestions for further research is to add stock price index variables."

"Studi ini bertujuan untuk mengetahui korelasi dinamis dan volatility spillover di antara nilai tukar di negara-negara ASEAN-5, minyak bumi, emas, dan batu bara pada periode krisis global, yaitu pandemi COVID-19 dan perang Rusia-Ukraina dengan mengestimasi model DCC-GARCH (Engle, 2002) dan DY spillover index (Diebold dan Yilmaz, 2012). Kedua model tersebut diestimasi dengan menggunakan data return harian dari 4 Januari 2017 sampai dengan 29 Februari 2024. Hasil penelitian menunjukkan bahwa portofolio investasi yang meliputi valuta asing, futures minyak bumi, futures emas, dan futures batu bara tepat untuk digunakan oleh investor di Indonesia, Malaysia, dan Filipina, tetapi kurang tepat untuk investor di Singapura dan Thailand. Selain itu, hasil penelitian juga menunjukkan bahwa perang Rusia-Ukraina memberikan dampak yang lebih besar terhadap peningkatan risiko di antara valuta asing, minyak bumi, emas, dan batu bara dibandingkan pandemi COVID-19. Penelitian ini diharapkan dapat membantu investor dan manajer portofolio dalam proses pembuatan portofolio investasi yang optimal dan strategi lindung nilai yang efektif dengan menggunakan valuta asing, minyak bumi, emas, dan batu bara.

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This study aims to investigate the dynamic correlation and volatility spillover among exchange rates in ASEAN-5 countries, crude oil, gold, and coal during the global crisis periods, specifically the COVID-19 pandemic and the Russia-Ukraine war, by estimating the DCC-GARCH (Engle, 2002) and DY spillover index (Diebold and Yilmaz, 2012). Both models are estimated using daily return data from January 4, 2017, to February 29, 2024. The findings indicate that an investment portfolio comprising foreign exchange, oil futures, gold futures, and coal futures is suitable for investors in Indonesia, Malaysia, and the Philippines, but less suitable for investors in Singapore and Thailand. Additionally, the study reveals that the Russia-Ukraine war has a greater impact on increasing risks among foreign exchange, oil, gold, and coal compared to the COVID-19 pandemic. This research is expected to help investors and portfolio managers in developing optimal investment portfolios and effective hedging strategies using foreign exchange, crude oil, gold, and coal."

"Penelitian ini membahas potensi perusahaan mengalami financial distress dengan menggunakan model Altman Z-score di perusahaan di industri kelapa sawit pada keadaan harga komoditas dan nilai tukar rupiah terhadap US Dolar mengalami pelemahan. Dalam penelitian ini perusahaan kelapa sawit dibandingkan kinerja keuangannya (dalam hal potensi mengalami financial distress) antara perusahaan yang memiliki bisnis pada industri hilir dan yang tidak memiliki bisnis di industri hilir. Penelitian ini menggunakan data 10 perusahaan kelapa sawit yang telah terdaftar di bursa efek Indonesia sejak tahun 2011 yang mana 4 diantaranya melakukan diversifikasi pada industri hilir. Hasil penelitian ini menunjukan bahwa secara bersama-sama turunnya harga komoditas dan turunnya nilai tukar rupiah terhadap US Dolar memiliki pengaruh secara signifikan terhadap potensi terjadinya financial distress. Selain itu perusahaan yang tidak melakukan diversifikasi pada unit bisnis industri hilir memiliki potensi kebangkrutan lebih banyak dengan kejadian sebanyak 11x dalam 6 tahun terakhir atau setara dengan 30.6% dari data yang ada. Sedangkan pada perusahaan yang memiliki diversifikasi pada industri hilir hanya mengalami sebanyak 1x atau sebesar 4.2%.

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This study discusses the potential for Palm Oil Companies experiencing financial distress by using a model of the Altman Z-score in the condition of weakening commodity prices and the Rupiah exchange rate against the US dollar weakened. This study compares financial performances of Palm Oil Companies with diversified business in downstresam industry and those without diversified business. The results indicate that simultaneously falling commodity prices and the falling value of the rupiah against the US dollar had a significant influence on the potential financial distress. In addition, the company that not conducting a diversification on the downstream industry business unit has a potential bankruptcy more to the events as much as 11x in the past 6 years, equivalent to 30.6% of the existing data. While the company has diversified in the downstream industry only experienced as 1x or by 4.2%"