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Abstrak :
Pandemi COVID-19 berdampak besar pada perekonomian dunia dengan membatasi aktivitas ekonomi, termasuk harga saham. Artikel ini mengkaji dampak volatilitas spillover di tengah pandemi COVID-19 juga pada masa pemulihan awal dari krisis dengan menggunakan data indeks harga saham dari China, AS, dan ASEAN: Indonesia, Malaysia, Singapura, Filipina, dan Thailand. Penelitian dilakukan dengan menggunakan model BEKK-GARCH untuk melihat pengaruh volatilitas antar negara. Dalam uji korelasi, peneliti menemukan bahwa pada periode pasca-krisis yang disebabkan oleh COVID-19, korelasi antara AS dan ASEAN meningkat, sedangkan terhadap China dan ASEAN menurun, dan hubungan antara negara-negara ASEAN juga menurun setelah periode krisis. Dari pemodelan VAR, ditemukan bahwa S&P500 pada periode pasca krisis mengalami penurunan nilai transmisi ke ASEAN. Berbeda dengan SSE yang justru mengalami peningkatan nilai transmisi ke ASEAN pasca krisis. Pada hasil pemodelan BEKK-GARCH, ditemukan bahwa volatilitas yang terjadi di pasar saham Amerika Serikat menjadi tidak memiliki pengaruh pada tiap negara yang tergabung dalam ASEAN pada masa post crisis. Berbeda sedikit dengan Amerika Serikat, China juga mengalami penurunan transmisi volatilitas terhadap ASEAN, namun pada beberapa negara seperti Thailand, Malaysia, dan Singapura, China mengalami kenaikan nilai transmisi volatilitas. Sedangkan kepada Indonesia dan Filipina, China menjadi tidak memiliki efek volatililitas setelah krisis terjadi. ......The COVID-19 pandemic had a major impact on the world economy by restricting economic activity, including stock prices. This article examines effects of volatility spillover in the midst of the COVID-19 also at the early recovery period from the crisis using stock price index data from China, US, and ASEAN: Indonesia, Malaysia, Singapore, Philippines, and Thailand. The research was conducted using the BEKK-GARCH model to see the effect of volatility between countries. In the correlation test, we found that in the post-crisis period caused by COVID-19, the correlation between the US and ASEAN increased, while against China and ASEAN it decreased, and relations between ASEAN countries also decreased after the crisis period. From the VAR modeling, it was found that the S&P500 during the post-crisis period experienced a decrease in the value of transmission to ASEAN. In contrast to the SSE, which actually experienced an increase in the value of transmission to ASEAN in the post-crisis. In the BEKK-GARCH modeling results, it was found that volatility that occurred in the United States stock market had no effect on each country that was part of ASEAN during the post-crisis period. Slightly different from the United States, China also experienced a decrease in volatility spillovers to ASEAN, but in several countries such as Thailand, Malaysia, and Singapore, China experienced an increase in the value of volatility spillovers. As for Indonesia and the Philippines, China had no volatility effects after the crisis occurred.

Abstrak :
This paper explores the relationship between global wealth and happiness. We employ a bivariate generalized autoregressive conditional heteroskedasti city framework for global wealth and happiness represented, respectively, by FTSE All-World and Twitter's Daily Happiness Sentiment indexes from October 14, 2013 to December 31, 2019. We find that daily changes in happiness significantly mitigate wealth volatility, and daily wealth returns positively affect the changes in happiness sentiment. These findings reveal a spiral transmission in daily changes in happiness sentiment and global wealth volatility and returns. Metaphysically, our findings imply that the relationship between the mind and matter of finance is either materialist or monistically neutral. From alternative perspective, we construct a pseudo portfolio of global wealth and happiness indexes in which the factor of happiness plays a more important role. Thus, a concentration on happiness is preferable for the pursuit of multiple objectives, which essentially include mind and matter.

Abstrak :
Skripsi ini menguji pola transmisi volatilitas indeks sektoral dengan menggunakan model DCC MGARCH yang diusulkan oleh (Engle, 2002) untuk meneliti pola transmisi volatilitas. Data yang digunakan adalah data harian dari 2003 hingga 2013 dengan menggunakan indeks sektor keuangan untuk menganalisis contagion antara Indonesia dan Negara-negara yang menjadi partner dagang utama dengan Indonesia. Dari hasil output ditemukan bahwa investor cenderung untuk bereaksi terhadap ?bad news?. Saya juga menemukan bahwa efek contagion yang diakibatkan oleh Eurozone Sovereign Debt Crisis lebih terasa dibandingkan dengan efek contagion yang diakibatkan US Subprime Mortgage Crisis.

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This thesis tested the pattern of volatility transmission of sectoral indices by using DCC MGARCH model proposed by (Engle, 2002) to assess volatility transmission. I used daily data from 2003 to 2013 to analyze contagion between financial sector of Indonesia and its major trading partner. We found that investors overreacts to bad news, and that the contagion effect following Eurozone Sovereign Debt Crisis is more pronounced than the one following US Subprime Mortgage Crisis.

Abstrak :
Penelitian ini bertujuan untuk menguji hubungan antara nilai tukar dan return harga saham di masing-masing negara fragile five, yaitu Indonesia, Brazil, India, Turki, dan Afrika Selatan. Penelitian ini dilakukan dengan menggunakan data harian, yang kemudian dibedakan menjadi dua periode, yakni periode sebelum (2013-2015) dan periode sesudah normalisasi the Fed (2016-2018), untuk mengetahui apakah kenaikan suku bunga the Fed menimbulkan perbedaan pada hubungan kedua variabel di masing-masing negara fragile five. Metode yang digunakan untuk analisis ini adalah granger causality test dan Vector Autoregression (VAR) menggunakan program Eviews 9. Kemudian, penelitian ini dilanjutkan dengan analisis metode Dynamic Conditional Correlation-Multivariate GARCH (DCC MGARCH) menggunakan program Stata 15, yang bertujuan untuk mengetahui bagaimana korelasi dinamis antar pasar maupun antar mata uang di negara fragile five. Hasil pengujian granger menemukan adanya perbedaan hubungan antara variabel nilai tukar dan return harga saham di Indonesia, India, dan Turki pasca normalisasi the Fed. Selanjutnya, hasil pengujian DCC MGARCH menunjukkan bahwa terjadi korelasi dinamis positif yang signifikan pada return indeks harga saham antarnegara fragile five. Hasil yang serupa ditemukan pada pengujian korelasi dinamis yang positif dan signifikan antar nilai tukar masing-masing negara. ......This research aims to examine the correlation between exchange rate and stock price return in each fragile five countries; Indonesia, Brazil, India, Turkey and South Africa. Using daily data, we investigate and then divide it into two periods; before Fed funds rate normalization (2013-2015) and after normalization (2016-2018), to find out whether the Fed funds rate hike caused a difference in the correlation between the two variables in each fragile five country. The methods used for this analysis are granger causality test and Vector Autoregression (VAR) using Eviews 9 program. Further investigation by analyzing the Dynamic Conditional Correlation-Multivariate GARCH (DCC MGARCH) method using Stata 15 program, which aims to find out the dynamic correlation between stock markets and also between currencies in fragile five countries. Granger test results found a difference in the relationship between variable exchange rates and stock price returns in Indonesia, India, and Turkey after the Fed normalization. Additionally, we learn that exchange rate lead stock price return in these three countries. Furthermore, the results of the DCC MGARCH test show that there is a significant positive dynamic correlation on the stock price index returns between markets. These results prove the existence of capital market integration in fragile five countries. Moreover, we found similar results in testing positive and significant dynamic correlations between the exchange rates of each country. Hence, the depreciation among currencies influences one another during global uncertainties that occur after Fed funds rate normalization.