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"Penelitian ini secara umum menganalisa pengaruh variabel-variabel ekonomi makro terhadap index harga saham gabungan (IHSG). Dengan menggunakan data variabel makro BI rate, jumlah uang beredar, kurs dollar, inflasi dan PDB, juga IHSG di BEI periode 2005-2014 sebagai variabel dependen. Teknik analisis yang dilakukan pada penelitian ini menggunankan metode regresi linier berganda dengan menggunakan variabel independen BI rate, jumlah uang beredar, kurs dollar, inflasi dan PDB terhadap variabel dependen IHSG.Hasil penelitian ini menunjukkan bahwa hanya variabel PDB saja yang tidak berpengaruh secara signifikan terhadap index harga saham gabungan. Dari empat variabel yang memiliki hubungan yang signifikan dengan IHSG, tiga diantaranya yaitu KURS, BI rate dan INF memiliki hubungan yang negatif, yang artinya jika KURS, BI rate dan INF meningkat maka akan menurunkan nilai IHSG, sedangkan jumlah uang beredar memiliki hubungan yang positif yang artinya jika jumlah uang beredar meningkat maka akan meningkat juga nilai dari IHSG.

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In generally, this research is analyze the effect of macroeconomic variables on Jakarta Composite Index (JCI). By using the macro variable data BI rate, money supply, exchange rate of the dollar, inflation and GDP, also JCI in BEI period 2005-2014 as the dependent variable. Technical analyzes conducted in this study using multiple regression method using independent variables BI rate, money supply, exchange rate of the dollar, inflation and the GDP on the dependent variable JCI.

The results showed that the only variable that GDP alone does not significantly on JCI. Of the four variables have a significant relationship with JCI, three of them namely EXCHANGE ($), BI rate and INF have a negative relationship, which means that if EXCHANGE ($), BI rate and INF increase will decrease the value of JCI, while money supply has a positive relationship which means that if the money supply increase it will too increase value of the JCI."

"Faktor makroekonomi memiliki peran penting dalam pertumbuhan perkonomian sebuah negara. Hal ini secara tidak langsung juga menentukan kondisi dan aktivitas pasar modal negara tersebut. Oleh karena itu, penelitian ini bertujuan untuk menganalisis pengaruh antara kebijakan moneter terhadap Indeks Harga Saham Gabungan IHSG pada Bursa Efek Indonesia BEI dengan menggunakan metode time series VAR Vector Autoregressive Representation dan data bulanan setiap variabel sebagai sampel selama periode 2009 ndash; 2016. Variabel dependen yang digunakan adalah Indeks Harga Saham Gabungan IHSG, sementara variabel independen yang digunakan merupakan variabel makroekonomi berupa variabel makroekonomi dengan 5 proksi, yaitu tingkat suku bunga SBI, jumlah uang beredar M2, inflasi, GDP riil, dan nilai tukar kurs. Hasil penelitian yang menemukan adanya kointegrasi kesetimbangan jangka panjang antara variabel makroekonomi dengan Indeks Harga Saham Gabungan IHSG menunjukkan terdapat pengaruh signifikan antarvariabel yang menjadi indikator dari kestabilan suatu negara dan mempengaruhi tingkat return yang didapatkan pada pasar modal.

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Macroeconomic variable plays an important role in the economic growth of country. This indirectly also determines the condition and activities of the capital market. Therefore, this study aims to analyze the effect of monetary policy on Jakarta Composite Index JCI on Indonesian Stock Exchange BEI using time series VAR Vector Auto regression Representative method and monthly data of each variable as sample during period 2009 2016. Dependent variable used is Jakarta Composite Index JCI, while independent variable used is macroeconomic variable in the form of monetary policy with 5 proxies, i.e. interest rate SBI, money supply M2, inflation, real GDP, and exchange rates. The result found an existence of co integration long term equilibrium between monetary policies with Jakarta Composite Index JCI, in term of significant effects among these variables which consistent with the statement of Arbitrage Pricing Theory that macroeconomic factors become one affecting indicator of the stability rate of return earned on the capital market. "

"Kondisi pasar modal sendiri tidak terlepas dari pengaruh-pengaruh internal maupun eksternal, dimana perubahan pada tingkatan aktifitas ekonomi khususnya perubahan pada faktor makroekonomi. Oleh sebab itu, penelitian ini akan menggunakan variabel-variabel yang dapat menggambarkan kondisi tersebut, yaitu Indeks Produksi Industri IPI , Indeks Harga Perdagangan Besar IHPB, Suku Bunga Bank Indonesia interest rate, jumlah uang beredar secara luas M2, serta nilai tukar kurs. Penelitian ini bertujuan untuk menguji bagaimanakah hubungan antara variabel makroekonomi dengan Indeks Harga Saham Gabungan IHSG dengan menggunakan metode time series Vector Autoregresive Model dan Granger Causality untuk melihat arah hubungan tersebut. Data yang digunakan adalah data bulanan setiap variabel selama periode 2007-2016. Hasil penelitian ini menemukan bahwa terdapat kointegrasi hubungan jangka panjang antara variabel makroekonomi dengan Indeks Harga Saham Gabungan IHSG dan menunjukan hubungan signifikansi jangka panjangnya. Variabel IPI ditemukan tidak signifikan, sementara IHPB serta KURS ditemukan positif signifikan, dan variabel IR dan M2 ditemukan negatif signifikan. Hasil pengujian arah hubungan menggunakan Granger Causality menunjukan bahwa terdapat hubungan unidirectional antara IHSG terhadap M2, IHSG terhadap Kurs, Kurs terhadap M2, IR terhadap KURS dan hubungan bidirectional antara IHSG dengan IR.

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Condition of the capital market is inseperable from internal and external influences, where capital market are sensitive to changes in the economic activity, especially changes in macroeconomic factors. Therefore, this study will use variables that can describe the condition, namely Industrial Production Index IPI, Wholesale Price Index WPI or IHPB, Interest Rate IR, Broad Money Supply M2 and exchange rate KURS. This study aims to test how the relationship between macroeconomic variables with Jakarta Composite Index JKSE or IHSG using time series Vector Autoregresive Model VAR and Granger Causality to see the direction of the relationship. The data used in this study are monthly data of each variable during the period of 2007 2016.

The result of this study is there is a cointegration long term relationship between macroeconomic variables with Jakarta Composite Index JKSE or IHSG and shows the long term relationship significance. IPI were found unsignificant, IHPB or WPI, and KURS were found to be significantly positive, while IR and M2 were found to be significantly negative. The result of Granger Causality shows that there is unidirectional relationship between JKSE or IHSG to M2, JKSE or IHSG to KURS, KURS to M2, and IR to Kurs and bidirectional relationship between JKSE or IHSG and IR. "

"Dinamika pasar modal bukanlah kegiatan yang terisolasi dari aktivitas ekonomi yang berada di luar pasar modal, kondisi makroekonomi yang seringkali mempengaruhi dan menyebabkan gejolak pada pasar modal. Hal tersebut menunjukkan eratnya pengaruh makroekonomi terhadap indeks harga saham gabungan di pasar modal. Oleh karena itu tujuan dari penelitian ini adalah meneliti pengaruh kondisi makroekonomi yang diwakili oleh variabel Nilai kurs, BI rate, Inflasi, dan PDB, serta bagaimana pengaruhnya terhadap indeks harga saham gabungan di Bursa Efek Indonesia selama periode tahun 2005 ? 2014.Metode yang digunakan dalam penelitian ini adalah menggunakan regresi linier berganda. Data diperoleh dari Monthly Statictic, Indonesia Stock Exchange, Indikator ekonomi dari Badan Pusat Statistik, dan Laporan bulanan Bank Indonesia. Hasil penelitian menunjukkan bahwa variabel PDB memiliki pengaruh positif signifikan terhadap indeks harga saham gabungan, sedangkan ketiga variabel nilai kurs, inflasi, dan BI rate terbukti memiliki pengaruh negatif terhadap indeks harga saham gabungan. Hasil penelitian juga menyimpulkan bahwa keempat variabel makroekonomi tersebut secara simultan berpengaruh terhadap indeks harga saham gabungan.

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The activity of capital market oftentimes affected by the economy conditions of its country, as well as macroeconomic variables that influence capital market?s activity, it means that there is a relation between macroeconomic variables and capital market?s activity movements. Therefore, this research aims to analyze the impact between four macroeconomic variables such as Inflation, GDP, BI rate, and the exchange rate to Stock Price Index (IHSG) in Indonesia Stock Exchange (BEI) during the period of July 2005 to December 2014.

This research using multiple regression method to analyze the relationship between Inflation, GDP, BI rate, the exchange rate and Stock Price Index (IHSG), all of data used was obtained from official websites of Indonesia Stock Exchange, Central Bureau of Statistics, and Bank of Indonesia. The result of this research showed that GDP, and exchange rate has a positive influence towards IHSG while the other variables like BI rate is shown to have a negative influence towards IHSG. Inflation surprisingly has no significant effect on the IHSG. This research also concludes that the four macroeconomic variables are simultaneously affect the IHSG."

"Skripsi ini membahas hubungan kointegrasi dan kausalitas antara harga emas, harga minyak dunia, nilai tukar rupiah, dan Indeks Harga Saham Gabungan IHSG tahun 2007-2016. Penelitian ini adalah penelitian kuantitatif dengan data dari tahun 2007 hingga 2016. Data harga emas diperoleh dari World Gold Council, harga minyak dunia menggunakan West Texas Intermediate dari US Energy Information Administration, nilai tukar dari Bank Indonesia, serta IHSG dari laporan statistik Bursa Efek Indonesia.Hasil penelitian ini menunjukkan bahwa variabel harga emas, harga minyak dunia, nilai tukar rupiah, dan IHSG tidak memiliki hubungan kointegrasi dan variabel IHSG dan harga minyak dunia memiliki hubungan kausalitas terhadap nilai tukar rupiah.

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This thesis discusses the cointegration and causality relationship between gold price, crude oil price, rupiah exchange rate, and Indonesia Stock Exchange Composite Index IHSG period 2007 2016. This research is quantitative research with data from 2007 until 2016. Gold price data obtained from World Gold Council, crude oil price using West Texas Intermediate from US Energy Information Administration, exchange rate from Bank Indonesia, and IHSG from Indonesia Stock Exchange statistics report.

The results of this study indicate that the variable gold price, crude oil prices, exchange rate of rupiah, and IHSG has no cointegration relationship and variable IHSG and crude oil price has causality relationship to rupiah exchange rate."

"Penelitian ini menguji secara empiris perubahan dynamic linkages variabel yield SBN-Domestik, IHSG terhadap shocks yield US Treasury bond, SP500 dan IDR/USD. Analisis menggunakan VECM. Uji IRF, VD dan Granger causality membuktikan bahwa dalam jangka panjang, periode pandemic-covid19 variabel yield SBN-domestik mengalami perubahan hubungan dinamis yang signifikan terhadap semua shock, namun perubahan terbesar terdapat pada yield SBN3Y dan SBN5Y. Hal ini disebabkan karena pada periode pendemic-covid19, SBN3Y dan SBN5Y sebagai SBN tenor pendek dan menengah dianggap lebih berisiko. Perubahan IHSG signifikan terhadap shockSP500 periode pandmeic-covid19. Uji variance decomposition periode pandemic-covid19 membuktikan dalam jangka panjang SP500 mempunyai kontribusi varians tertinggi.

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This study empirically examines the dynamic linkages among yield SBN-Domestic and IDX-Composite to the shocks of US Treasury bonds, SP500 and IDR/USD. Analysis applying VECM. IRF, VD and Granger causality tests prove that in the long-run, during the pandemic-covid19 period, the SBN-Domestic experienced a significant change to all shocks, but the biggest changes were on SBN3Y and SBN5Y. This was due to the fact that during the Covid-19 pandemic, SBN3Y and SBN5Y were considered high risk. IDX-Composite was significantly changes for SP500 during pandemic-covid19 period. Variance decomposition test proved that in the long run, SP500 has the highest variance contribution."

"[ABSTRAKPerkembangan IHSG yang masih fluktuatif semenjak terjadinya krisis keuangan dan ekonomi pada tahun 2008 membuat para investor pun mulai memperhatikan instrumen investasi yang akan mereka pilih dan investasi yang akan memberikan keuntungan paling optimum. Oleh karena itu, investor perlu memperhatikan metode yang digunakan untuk memilih saham dan bagaimana membangun portofolio investasinya secara optimal untuk mengoptimalkan tingkat imbal hasil investasi dan mengurangi sekecil mungkin risiko yang dihadapi. Berdasarkan hal tersebut, penelitian ini berusaha untuk menggambarkan dan membandingkan kinerja portofolio pada saham indeks LQ45 dengan Model Black-Litterman Pada PT Mandiri Sekuritas Tbk dan PT Bahana Securities Tbk sebagai perusahaan sekuritas yang sangat aktif di Indonesia selama periode Agustus 2009 ? Juli 2014. Penelitian ini menggunakan metode penelitian kuantitatif dan obyek penelitiannya adalah enam belas saham yang selama periode penelitian secara berturut-turut selalu masuk ke dalam daftar indeks LQ45 dan memiliki data yang lengkap selama periode penelitian. Dalam menganalisis kinerja portofolio optimal pada saham indeks LQ45, penelitian ini melakukan seleksi saham dengan metode Single-Index Model metode Cut-Off Rate. Saham-saham hasil seleksi ini kemudian dioptimasi dengan Black-Litterman Model dimana return equilibrium yang dipakai berasal dari hasil perhitungan model tiga faktor Fama dan French dan menggunakan target/fair price PT Mandiri Sekuritas Tbk dan PT Bahana Securities Tbk sebagai private views-nya, yang kemudian hasil kinerja portofolio kedua perusahaan tersebut dibandingkan. Hasil dari penelitian ini menunjukkan bahwa portofolio optimal pada PT Mandiri Sekuritas Tbk memiliki kinerja dan return yang lebih baik dibandingkan portofolio PT Bahana Securities Tbk namun secara statistik dengan menggunakan uji t berpasangan tidak ada perbedaan yang signifikan antara kinerja portofolio kedua perusahaan sekuritas tersebut. Meskipun kinerja portofolio PT Mandiri Sekuritas Tbk lebih tinggi, ternyata risiko yang dimiliki portofolio ini pun juga besar karena menunjukkan dari hasil perhitungan Black-Litterman Model, nilai standard deviasi, beta dan risikonya lebih besar dibandingkan portofolio pada PT Bahana Securities Tbk.;

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ABSTRACTThe Jakarta Composite Index is still have flluctuative movement sincethe financial and economic crisis in 2008. Hence, the investor need to recognize the method used to select the stock s and how to build optimal portfolio to optimize the return on investment and reduce the risk faced by the smallest possible. In addition, this research was conducted to describe and compare the optimum portofolio performance in index shares of LQ45 between PT Mandiri Sekuritas Tbk and PT Bahana Securities Tbk with Black-Litterman Model for period August 2009 until July 2014. This research was conducted by using quantitative research method and the object of this research was sixteen stocks that during the research period in a row was always entered into the list of LQ45 index. In analyzing the optimum portofolio performance in index shares of LQ45, this research was selected the stocks by using Single-Index Model with cut-off rate. Stocks of the selection results are then optimized by using Black-Litterman method. In addition to comparing the performance of both methods, this research also compared the performance between these two securities companies. The results of this research showed that optimal portfolio from PT Mandiri Securities Tbk had better performance and return than the portfolio from PT Bahana Securities Tbk but there was no significant difference statistically using paired t test was between the portofolio performance of these two securities companies. Although the portfolio performance of PT Mandiri Securities Tbk was higher, it turns out the risk of the portfolio was also great because it showed from the calculation of the Black-Litterman model, the value of the standard deviation, beta and the risk was greater than the portfolio at Bahana Securities Tbk., The Jakarta Composite Index is still have flluctuative movement sincethe financial and economic crisis in 2008. Hence, the investor need to recognize the method used to select the stock s and how to build optimal portfolio to optimize the return on investment and reduce the risk faced by the smallest possible. In addition, this research was conducted to describe and compare the optimum portofolio performance in index shares of LQ45 between PT Mandiri Sekuritas Tbk and PT Bahana Securities Tbk with Black-Litterman Model for period August 2009 until July 2014. This research was conducted by using quantitative research method and the object of this research was sixteen stocks that during the research period in a row was always entered into the list of LQ45 index. In analyzing the optimum portofolio performance in index shares of LQ45, this research was selected the stocks by using Single-Index Model with cut-off rate. Stocks of the selection results are then optimized by using Black-Litterman method. In addition to comparing the performance of both methods, this research also compared the performance between these two securities companies. The results of this research showed that optimal portfolio from PT Mandiri Securities Tbk had better performance and return than the portfolio from PT Bahana Securities Tbk but there was no significant difference statistically using paired t test was between the portofolio performance of these two securities companies. Although the portfolio performance of PT Mandiri Securities Tbk was higher, it turns out the risk of the portfolio was also great because it showed from the calculation of the Black-Litterman model, the value of the standard deviation, beta and the risk was greater than the portfolio at Bahana Securities Tbk.]"

"Penelitian ini dilakukan untuk mengetahui apakah terdapat hubungan timbal balik antara nilai tukar rupiah terhadap dolar dengan indeks harga saham baik secara agregat maupun sektoral.Dengan tujuan ini maka dilakukan analisis dengan metode Vector Autoregressive (VAR) menggunakan data harian untuk periode waktu 24 Januari 2001 - 18 Suni 2004. Terdapat tiga model yang akan dianalisis yaitu model 1 yang melibatkan nilai tukar rupiah terhadap dolar dengan indeks harga saham gabungan (IHSG), model 2 yang melibatkan nilai tukar rupiah dengan indeks harga saham sektor pertambangan dan model 3 yang melibatkan nilai tukar rupiah dengan indeks harga saham sektor aneka industri.Hasil penelitian menunjukkan bahwa variabel-variabel yang diamati tidak stasioner pada level dan mencapai stasioner pada level first difference atau 1(1). Walaupun mempunyai orde integrasi yang sama ternyata kedua variabel untuk masing-masing model tidak berkointegrasi baik menurut metode Augmented Engle Granger maupun Johansen's Cointegration Test. Dengan demikian pemodelan yang digunakan adalah VAR untuk first difference. Dan ketiga model VAR diketahui bahwa untuk nilai tukar rupiah terhadap dolar selain dipengaruhi oleh pergerakan dari nilai tukar hari-hari sebelumnya juga dipengaruhi oleh pergerakan indeks harga saham (ceteris paribus). Sebaliknya untuk indeks harga saham yang berpengaruh secara signifikan hanya pergerakan dari indeks hari-hari sebelumnya. Hasil ini diperkuat oleh innovation accounting baik untuk Variance Decompositions (VIX's) maupun Impulse Re.sponse !''unction (IRE). Deegan demikian untuk periode data pada penelitian ini, indeks bisa menjadi leading indicator bagi nilai tukar sesuai dengan Por(f olio Balance Approach.

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The aim of this research is to test whether there are the causal relation and dynamic interactions between stock indices and exchange rate for composite and sector indices.

To achieve that goal, we employ Vector Autoregressive (VAR) method for daily lime series data from January 240, 1997 until June 180, 2004. We analyze three models, those are between composite indices and exchange rate, mining indices and exchange rate and the rest between miscellaneous indices and exchange rate.

In this research, we find that both of variables are stationary for the first difference or 1(1). Although the two of variables have the same of order integration but they don't integrated each other based on Augmented Engle Granger method and Johansen's Cointegration Test. VAR models show that movement of exchange rate is significantly influenced by the movement of exchange rate previously and the movement of stock indices. The other way shows that movement of stock indices is significantly influenced only by the movement stock indices. Those result are supported by Variance Decompositions (VDCs) and Impulse Response function (IRF). For the sample period, we find that stock indices can be leading indicator for exchange rate (ceteris paribus), which appropriate with Portfolio Balance Approach."

"Perubahan harga saham perlu dipantau sebagai sinyal (early warning indicators) terhadap kondisi (booming atau busting) di bursa saham. Salah satu dari parameter kondisi kinerja perusahaan, kondisi industri ataupun makroekonomi tidak cukup dalam menganalisis potensi harga saham. Tesis ini membahas pengaruh berbagai faktor fundamental terhadap harga saham Jakarta Islamic Index (JII) yang konsisten selama periode Juli 2000 - Juni 2007 berdasarkan kepada analisis fundamental.Metode penelitian yang digunakan adalah analisis verifikatif dan deskriptif dengan tehnik statistika dan ekonometrika. Penelitian adalah berdasarkan pooled data dengan estimasi parameter model menggunakan metoda Ordinary Least Squares (OLS) dan Fixed Effect Model (FEM).Hasil penelitian menunjukkan bahwa harga saham JII yang konsisten selama periode ini terbukti dipengaruhi Debt Equity Ratio (DER), Return on Equity (ROE), Price to Book Value (PBV), risiko sistematis (BETA), Indeks Harga Saham Sektoral (IHSS), Indeks Harga Saham Gabungan (IHSG), tingkat laju inflasi (INFL), jumlah peredaran uang (M2), dan tingkat suku bunga Sertifikat Bank Indonesia (SBI) secara simultan, dimana secara parsial pada tingkat kepercayaan 95% ditunjukkan bahwa DER, INFL, M2 secara statistik berpengaruh negatif, dan ROE, PBV, BETA, IHSS, IHSG berpengaruh positif, sedangkan SBI tidak statistically significance berpengaruh. Dari hasil pemodelan juga diketahui bahwa rata-rata harga saham JII telah terapreasiasi dengan baik.

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The change in the price of share must be monitored as the signal (early warning indicators) towards the condition (booming or busting) in the stock exchange. One of the condition parameters for the achievement of the company, the condition for the industry or macroeconomics was not enough in analysing the potential for the price of the share. This thesis discussed the influence of various fundamental factors towards the price of the share Jakarta Islamic Index (JII) that was consistent for the period in July 2000 to June 2007 whereas will be based on to the fundamental analysis.The research method used was the verificative and descriptive analysis by using statistic and econometric methods. The research was based on pooled data; with the estimations of the model parameter used are Ordinary Least Squares method (OLS) and Fixed Effect Model (FEM).Results of the research show that the price of JII share that was consistently appear in this period proven were simultaneously influenced by Debt Equity Ratio (DER), Return on Equity (ROE), Price to Book Value (PBV), Systematic risk (BETA), Sectoral Share Price Index (IHSS), Cumulative Share Price Index (IHSG), the level of inflation rate (INFL), broad money supply (M2), and the level of interest in Certificate of Bank Indonesia (SBI), where partially in 95% confidence level was pointed out that DER, INFL, M2 statistically significant negative influential, and ROE, PBV, BETA, IHSS, IHSG was significantly positive influential, whereas SBI not statistically significant influential. From the modeling results also was known that in general the price of the JII share has been appreciated well."