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Abstrak :
ABSTRAK
Pasar Modal yang berkembang pesat merupakan sarana investasi yang cukup menggiurkan bagi semua orang. Perkiraan yang tepat akan menghasilkan keuntungan yang berlipat ganda. Karena itu ramalan-ramalan tentang harga sekuritas selanjutnya yang bersifat ilmiah berkembang menjadi suatu komoditas yang diminati oleh banyak orang. Hampir semua ramalan-ramalan tersebut bersandar pada apa yang dikenal dengan Random Walk . JJka pasar yang ada tidak mengikuti random walk maka sulit menggunakan ramalan-ramalan tersebut. Pengujian yang dilakukan pada karya akhir int adalah untuk melihat sifat acak dari BEJ untuk periode 11 tahun dengan model tertentu sehingga pengunaan teknik peramalan yang ada menjadi lebih efektif. Pada kesempatan ini pengujian menggunakan model yang diturunkan oleh Lo dan.MacKinlay. Hasil yang didapat adalah terjadi penolakan Ho pada homocedasticity dan tidak ditolaknya Ho pada heteroscedasticity.

Abstrak :
Tujuan penelitian ini adalah untuk mengetahui hubungan antara perkembangan pasar modal, dan sistem pembiayaan perbankan terhadap pertumbuhan ekonomi di Indonesia dari periode kuartal pertama tahun 1990 sampai dengan kuartal kedua tahun 2013. Variabel yang digunakan dalam penelitian ini adalah produk domestik bruto, rasio kapitalisasi pasar modal, rasio kredit domestik perbankan dan variabel kontrol yaitu rasio investasi dan indeks harga konsumen. Penelitian ini menggunakan model Vector Autoregression, Granger Causality, Variance Decomposition, dan Impulse Response Function untuk mengetahui hubungan antar variabel.

Berdasarkan analisa kausalitas granger, sistem perbankan memberikan kontribusi yang signifikan terhadap pertumbuhan ekonomi dan begitu juga sebaliknya. Sementara itu pada sistem keuangan lainnya yaitu pasar modal tidak membuktikan adanya pengaruh bahwa perkembangannya menjadi penggerak pertumbuhan ekonomi. Namun, pengujian ini membuktikan terdapat hubungan kausalitas antara pasar modal dengan sistem perbankan.

Dalam analisa Impulse Response, secara umum respon perilaku yang terjadi pada pasar modal tidak memiliki kesamaan dengan perilaku yang terjadi dalam keuangan perbankan tetapi kedua variabel tersebut memiliki kemiripan pola siklikal menuju kestabilan. Sedangkan pada Variance Decomposition masingmasing variabel menjelaskan respon terhadap guncangan dari variabel lain. Dimana guncangan yang terjadi dalam variabel produk domestik bruto berkurang setiap periode dalam peramalan varians error.

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This study aims to determine how the relationship between stock market development and bank financing system toward economic growth in Indonesia during first quarter of 1990 until second quarter of 2013. The variables used are real gross domestic product, market capitalization ratio, total domestic credit ratio and as control variables are investment ratio and consumer price index. This study uses Vector Autoregression model, Granger Causality, Variance Decomposition, and Impulse Response Function.

Regarding Granger Causality analysis, banking system proves that variable causes economic growth and bidirectional. Meanwhile, on the other hand there is no evidence of causality from stock market development to economic growth. However, this paper proves causality relationship between stock market and banking system.

In general, the Impulse Response Function reveals the response of stock market behaviour is dissimilar to the response in bank financing. In fact, both of variables have similar cyclical pattern into stability. According Variance Decomposition analysis, allows to asses how a variable respond to shocks in specific variables. When considering Real Gross Domestic Product, the impact from this variable has reduced in every single period of the forecast error variance.

Abstrak :
"Want to start investing your money wisely but not sure how? Get to grips with the UK investment and financial markets with this practical and easy guide that tells you everything you need to know about the stock market. In today's economy it is clear to see how everyday politics and global events can have a lasting impact on your pension, savings and investments which can make you feel powerless to safeguard your future. Now more than ever, it is vital to understand how the markets work and what you can do to maintain financial security. This book gives concise and practical information that helps you understand how the stock markets work, breaking down what may seem like complex jargon to simple explanations. Fully updated for this seventh edition, How the Stock Markets Works aims to provide you with the tools needed to understand investing in the light of major events such as the UK's exit from the EU. Chapters cover the basics such as explanations of shares, bonds and gilts and range to where to find help and advice when needed. With guidance on how to be a responsible shareholder and information on the taxation regime, this established guide will help you take control of your finances"--

Abstrak :
Penelitian ini bertujuan untuk menganalisis bagaimana pengaruh macroeconomic uncertainty dan financial uncertainty dari Amerika Serikat terhadap pasar modal saham konvensional dan saham syariah di emerging markets, Amerika Serikat dan ASEAN 5 yaitu Indonesia, Malaysia, Singapura, Thailand dan Filipina. Data yang digunakan dari tahun 2002 sampai dengan 2017. Ada 4 metode asset pricing yang digunakan yaitu Fama-French 3 Factor Model, Carhart 4 Factor Model, Fama-French 5 Factor Model, dan Bali, Brown and Tang model. Dalam penelitian ini, digunakan 3 jenis metode olah data. Pertama menggunakan ordinary least square untuk melihat bagaimana pengaruh uncertainty Amerika Serikat. Yang kedua dan ketiga yang dilakukan adalah robustness check yaitu mengolah data dengan ARCH/GARCH dan mengurangkan indeks pasar modal dengan treasury bills rate. Hasil penelitian ini, yang pertama menyatakan bahwa macroeconomic uncertainty dari Amerika Serikat secara signifikan memengaruhi pasar modal saham konvensional emerging markets, Indonesia, Singapura, Malaysia, Thailand dan Filipina. Yang kedua, financial uncertainty dari Amerika Serikat secara signifikan memengaruhi pasar modal saham konvensional emerging markets dan Singapura jika mengunakan metode French 5 Factor Model dan Bali, Brown and Tang model. Yang ketiga, macroeconomic uncertainty dari Amerika Serikat secara signifikan memengaruhi pasar modal saham syariah emerging markets, Singapura dan Malaysia. Yang keempat, financial uncertainty dari Amerika Serikat secara signifikan memengaruhi pasar modal saham syariah Singapura jika menggunakan model French 5 Factor Model dan Bali, Brown and Tang model. ......This study analyzes the impact of macroeconomic uncertainty and financial uncertainty from the United States on conventional stock market and Islamic stocks in emerging markets, the United States and ASEAN 5, namely Indonesia, Malaysia, Singapore, Thailand and the Philippines. The data was used from 2002 to 2017. There were 4 asset pricing methods used, namely Fama-French 3 Factor Model, Carhart 4 Factor Model, Fama-French 5 Factor Model, and Bali, Brown and Tang model. In this study, 3 types of data processing methods were used. The first one used was ordinary least square to see how the United States uncertainty affects. The second and third conducted is robustness check, namely processing data with ARCH/GARCH and subtracting stock market index with treasury bills rate. The results of this study, the first stated that macroeconomic uncertainty from the United States significantly affected the conventional stock market of emerging markets, Indonesia, Singapore, Malaysia, Thailand and the Philippines. Secondly, financial uncertainty from the United States significantly affected the conventional stock market of emerging markets and Singapore if using the French 5 Factor Model and Bali, Brown and Tang models. Third, macroeconomic uncertainty from the United States significantly affected the Islamic stock market in emerging markets, Singapore and Malaysia. Fourth, financial uncertainty from the United States significantly affected the Islamic capital markets of Singapore if using the French 5 Factor Model and Bali, Brown and Tang models.

Abstrak :
This paper provides evidence on the reactions of an emerging financial market to monetary policy announcements. We employ an instrumental variable estimation approach based on the "identification through heteroscedasticity" technique to estimate the impact of a change in the official interest rate and its surprise component on asset prices in Indonesia. The new methodology controls for possible feedback relationships between financial variables and official interest rate changes. Data study objects that I used in this thesis are samples of the stock price indexes of JSX, foreign exchanges and SBI rates. Data samples are daily rctums from JSX database and Bloomberg, respectively. Study period covers from August 03, 1998 to January 02, 2004, a total one thousand and fifteen (1415) observations based on trading dates. In our analysis, official interest rates have a smaller significant impact on stock market movements, driving them in the same direction as the change in stock prices. The results suggest that daily interest rates have a smaller significant impact on stock market movements within the period after the Bank Indonesia Act |999 to year 2004, driving them in the same direction as the change in stock prices. On the other hand before Bank Indonesia Act I999, I observe an influence of official interest MIC changes on short-term stock indices.

Abstrak :
Pandemi COVID-19 menjadi lebih besar dari krisis terakhir yang melanda dan menjadikan Indonesia sebagai negara dengan tingkat akumulasi kasus terkonfirmasi tertinggi di Asia Tenggara. Penelitian ini bertujuan untuk menganalisis dampak pandemi COVID-19 terhadap pasar saham Indonesia pada periode gelombang pertama dan kedua. Khususnya, penelitian ini menggunakan regresi data panel dalam mendefinisikan dinamika likuiditas dan volatilitas melalui indeks untuk memahami berbagai dimensi pandemi. Hasil penelitian menemukan hubungan antara pandemi dan index LQ 45 di Indonesia selama gelombang pertama dan kedua pandemi. Hasil analisis menunjukkan bahwa penerapan kebijakan pembatasan mobilitas terkait dengan peningkatan ilikuiditas dan volatilitas pasar. Secara paralel, peningkatan sentimen negatif dan penambahan jumlah kasus dan kematian menurunkan likuiditas serta meningkatkan volatilitas saham indeks LQ 45. ......The COVID-19 pandemic has affected Indonesia more significantly than the last crisis. It hit and caused Indonesia to have the highest accumulation rate of confirmed cases in Southeast Asia. This study aims to analyze the impact of the COVID-19 pandemic on the Indonesian stock market during the first and second waves. We mainly used panel data regression on daily market returns and defined the liquidity and volatility dynamic through indexes to understand the various dimension of the pandemic. We found a relationship between pandemics and the Indonesian stock markLQ 45 Index during the first and second waves of the pandemic. Our results suggest that increasing mobility restriction implementation would increase market illiquidity and volatility. In parallel, the rise of negative sentiment and fatality rate caused by COVID-19 provides liquidity and stability failure.

Abstrak :
Tesis ini membahas faktor-faktor apa saja yang mempengaruhi korelasi bursa saham Indonesia dengan bursa saham di lima negara lainnya, yaitu Jepang, Hongkong, AS, Inggris dan Australia. Faktor-faktor yang diteliti tidak menyangkut faktor ekonomi saja, namun juga melibatkan faktor geo-politik. Penelitian ini mencoba munguji model yang tidak biasa digunakan dalam manajemen keuangan, yaitu dengan menggunakan Gravity Model. Basil penelitian menemukan bahwa temyata Gravity Model sesuai digunakan untuk memprediksi detenninan korelasi stock market Indonesia dengan lima negara lainnya pada tahun 2004-2009. Determinan korelasi stock market Indonesia adalah besarnya kapitalisasi pasar, Over Lapping Open Hour, dan kesamaan hukum. ......This thesis mainly discusses the determinants of Indonesia's stock market correlations with five otherstock markets in five countries, which are Japan, Hong Kong, USA, UK and Australia. The factors that are observed are not just economic factors but a1so geo-political factors. This study examines a model that is rarely used in financial management that is Gravity Model. The result of this study is that, Gravity Model is suitable enough to estimate the correlation between Indonesia's stock market and five other partners in the year 2004-2009. Hence, the determinants are; market capitalization size, Over Lapping Open Hour, and the law index

Abstrak :
Penelitian ini ditujukan untuk menganalisis keberadaan herding behavior di pasar saham Indonesia pasca penutupan broker summary selama jam bursa. Peneliti berfokus untuk mengungkapkan apakah masih ada indikasi indikasi herding behavior pasca penutupan broker summary selama jam bursa sejak 6 Desember 2021. Peneliti melakukan penelitian pada perusahaan-perusahaan yang masuk ke dalam indeks PEFINDO25 untuk periode 2021-2023 yang terdiri dari 53 perusahaan untuk keseluruhan periode. Hasil penelitian menunjukkan tidak adanya indikasi herding behavior pasca penutupan broker summary selama jam bursa. Hasil tersebut dapat dijadikan pertimbangan atas kebijakan penutupan broker summary telah efektif menurunkan herding behavior di pasar saham Indonesia. Dengan begitu, harapannya kedepan investor dan BEI dapat secara bersama-sama memajukan pasar saham Indonesia, terutama dalam menurunkan herding behavior di Indonesia. ......This study aims to analyze the presence of herding behavior on the Indonesian stock market after the closing of the broker summary during market hours. The researcher focuses on revealing whether there are any indications of herding behavior after the closing of the broker summary during stock exchange hours since December 6th 2021. The researcher conducted research on companies included in the PEFINDO25 index for the period 2021 - 2023 which consists of 53 companies for the entire period. The results showed that there was no indication of herding behavior after closing the broker summary during trading hours. These results can be used as a consideration for the policy of closing broker summaries which has effectively reduced herding behavior on the Indonesian stock market. That way, it is hoped that in the future investors and BEI can jointly advance the Indonesian stock market, especially in reducing herding behavior in Indonesia.

Abstrak :
Studi ini mengkaji perilaku “herding” di tingkat industri menurut IDX-IC. Tujuan dari penelitian ini adalah untuk mengetahui perilaku “herding” di masa sebelum dan sesudah terjadinya pandemi wabah coronavirus (COVID-19). Dengan menggunakan studi dari Dhall & Singh (2020) yang menggunakan modifikasi dari model yang diusulkan oleh E.C. Chang et al. (2000) sebagai referensi utama untuk mendeteksi perilaku “herding”. Dengan menggunakan harga penutupan saham harian dari 90 perusahaan, yang termasuk di dalam 11 sektor industri menurut klasifikasi industri saham Jakarta dari 1 Juli 2015 hingga 1 Agustus 2021, hasil penelitian ini menunjukkan indikasi perilaku menggiring pada sektor industri yang berbeda sesuai dengan periode horizon investasi yang diamati dari keseluruhan. periode (1 Juli 2015 hingga 1 Agustus 2021), dan setelah periode wabah COVID-19 (2 Februari 2020 hingga 1 Agustus 2021). Lebih lanjut, studi ini mengkaji perilaku “herding” pada kondisi pasar bullish dan bearish, dimana hasilnya menunjukkan bahwa investor lebih rentan terhadap perilaku “herding” dalam kondisi pasar bullish, namun tetap melakukan “herding” di kondisi pasar bearish pada industri yang berbeda jika dilihat dari analisa sampel periode keseluruhan. ......This study examines the herding behavior at the industry level according to the IDX Industrial Classification (IDX-IC). The purpose of this study is to examine the herding behavior during the pre-and post-coronavirus disease 2019 (COVID-19) pandemic outbreak period. The research from Dhall & Singh (2020) which uses a modification of the model proposed by E.C. Chang et al. (2000) is used as the main reference of this research to detect the herding behavior. Using daily stock closing prices of 90 firms, which constitute 11 industrial sectors according to the Jakarta Stock Industrial Classification from 1 July 2015 to 1 August 2021, the results show indication of herding behavior in differing industry sectors subject to observed investment horizon period of the whole period (1 July 2015 to 1 August 2021), and after COVID-19 outbreak period (2 February 2020 to 1 August 2021). Furthermore, this study investigates the herd during bull and bear market conditions, whereby the results show that investors are more prone to the herding behavior under bullish market conditions, but also herd in different industry in bearish market conditions taken from the view of the whole period

Abstrak :
Stock investors are very concerned with the stock market index because intuitively, most stocks move in the same direction as the stock market index. If the stock market index rises (declines), a portfolio most likely will also increase (decrease) In value. How is the stock market index derived ? ln some capital markets where the listed stocks are quite limited such as Jakarta Stock Exchange, all the stocks (total population) are included in the index calculation. Some indexes, however, do not use the total population but take a representative sample to reflect the market. Once we have the sample (or the total population), the next question is how to give weights to each of the stocks In the sample (or the population). This article explains three weighting methods for index calculation namely price-weighted, value-weighted, and unweighted.A set of examples and an actual but simplified example on IHSG are given to help understand the three calculation (weighting) methods.