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Abstrak :
Penelitian ini bertujuan menganalisis pengaruh variabel ekonomi makro yang terdiri dari pertumbuhan inflasi, pertumbuhan depresiasi nilai tukar Rupiah terhadap US Dollar, pertumbuhan cadangan devisa, pertumbuhan yield obligasi pemerintah Amerika Serikat serta pertumbuhan premi Credit Default Swap terhadap pertumbuhan yield obligasi global pemerintah Indonesia - Indo16 yang berdenominasi US Dollar di pasar keuangan dunia selama periode Januari 2007 sampai dengan April 2014. Setelah dilakukan pengujian regresi melalui metode Ordinary Least Squares, penelitian ini menunjukkan adanya hubungan positif antara pertumbuhan inflasi, pertumbuhan depresiasi nilai tukar Rupiah terhadap US Dollar, pertumbuhan yield obligasi pemerintah Amerika Serikat terhadap pertumbuhan yield Indo16. Selain itu terdapat hubungan negatif antara pertumbuhan cadangan devisa terhadap pertumbuhan yield Indo16. Pertumbuhan premi Credit Default Swap memiliki hubungan positif terhadap pertumbuhan yield Indo16. Pertumbuhan yield obligasi pemerintah Amerika Serikat dan pertumbuhan CDS Indonesia memiliki pengaruh positif signifikan terhadap pertumbuhan yield obligasi global Indo16 yang berdenominasi US Dollar. ...... This study aimed to analyze the effect of macroeconomic variables: inflation growth, foreign exchange growth, foreign reserves growth, U.S. government bond yield growth and credit default swap growth to the growth of Indonesian sovereign global bond yield - INDO16 (denominated in US Dollar) in global financial market during the period January 2007 to April 2014. After testing through an Ordinary Least Squares (OLS) test, this study showed a positive relationship between inflation growth, foreign exchange growth, U.S. government bond yield growth to the growth of Indonesian sovereign global bond yield -INDO16. In addition there is a negative relationship between Indonesian foreign reserve growth to INDO16 global bond yield growth. Credit Default Swap growth has a positive relationship to INDO 16 global bond yield growth. The growth of U.S. government bond yield and the growth of CDS has a significant influence to the growth of Indonesian global bond yield INDO-16.

Abstrak :
Krisis ekonomi global yang terjadi pada tahun 2008 turut berdampak kepada kondisi perekonomian di Indonesia, salah satunya ancaman terjadinya kebangkrutan pada perusahaan. Penelitian mengenai prediksi terjadinya kebangkrutan (financial distress) pada awalnya hanya menggunakan rasio keuangan saja, kemudian diperluas hingga ekonomi makro. Penelitian ini bertujuan untuk menganalisis pengaruh rasio keuangan berupa total turnover asset ratio, debt ratio, current ratio, quick ratio, working capital to total asset ratio, dan return on asset serta ekonomi makro berupa Produk Domestik Bruto (PDB), Indeks Harga Konsumen (IHK), jumlah uang yang beredar (M2), Indeks Harga Saham Gabungan (IHSG) dan BI Rate terhadap probabilitas terjadinya financial distress perusahaan non – keuangan yang terdaftar di Bursa Efek Indonesia periode 2008 – 2017. Sampel terdiri dari 192 perusahaan yang di kategorikan sebagai perusahaan financial distress dan non – financial distress. Data tersebut kemudian di analisis menggunakan teknik analisis regresi logistik dan data akan diolah dengan SPSS. Hasil menunjukkan bahwa rasio keuangan dan ekonomi makro dapat digunakan sebagai prediktor terjadinya financial distress dengan tingkat akurasi dalam memprediksi jawaban yang benar sebesar 80,4%. Dari enam rasio keuangan hanya total turnover asset ratio, working capital to total asset ratio dan return on asset ratio yang signifikan berpengaruh terhadap financial distress. Serta, hanya dua komponen dari ekonomi makro yaitu Produk Domestik Bruto (PDB) dan Indeks Harga Saham Gabungan (IHSG) dari lima komponen lainnya yang berpengaruh signifikan terhadap financial distress. ......The economic crisis that occurred in 2008 affected Indonesia economic conditions by way of increased threat of bankruptcy. Studies prediction of financial distress are initially limited to financial ratios for determinants, however they were extend to macroeconomic variables. This study aims to analyze the effect of financial ratios that are total asset turnover ratio, debt ratio, current ratio, quick ratio, working capital to total asset ratio, and return on assets also macroeconomic variables that are Gross Domestic Product (GDP), Consumer Price Index (CPI), Money Supply (M2), Indonesia Composite Index, and BI Rate on the probability of financial distress of non-financial companies listed in Indonesia Stock Exchange in 2008 - 2017. The sample consisted of 192 listed companies which are categorized financially and non-financially distressed companies. Data analyzed using logistic regression analysis techniques. The results show that financial ratios and macroeconomic variables can be used as predictors of financial distress with 80.4% accuracy rate in variables. From six financial ratios only total asset turnover ratio, working capital to total asset ratio and return on asset ratio significantly affect to financial distress. Only two components out of the five macroeconomic variables that has significant effect on financial distress, namely Gross Domestic Product (GDP) and Indonesia Composite Index.

Abstrak :
ABSTRACT
We use an exhaustive list of Indonesias macroeconomic variables in a comparative analysis to determine which predictor variables are most important in forecasting Indonesias inflation rate. We use monthly time series data for 30 macroeconomic variables. Using both in sample and out of sample predictability evaluations, we report consistent evidence of inflation rate predictability using 11 out of 30 macroeconomic variables.

Abstrak :
Penelitian ini dilakukan untuk mengetahui ada tidaknya pengaruh faktor-faktor suku bungs SBI, kurs Rp terhadap Dolar AS, IHSG, Pembiayaan dan Simpanan Mudharabah terhadap Laba Bruto bank- bank syariah di Indonesia. Sampel yang dipilih adalah Bank Muamalat, Bank Syariah Mandiri dan BNI (Unit) Syariah. Untuk tujuan tersebut maka dilakukan pengujian menggunakan persamaan tinier regresi berganda, dengan metode Ordinary Least Square (OLS), dengan menggunakan data bulanan dan triwulan dari Januari 2001 hingga Desember 2003 yang diambil dari laporan keuangan bank syariah yang bersangkutan. Hasil pengujian menunjukkan bahwa faktor pembiayaan, secara statistik dan substansi, menjadi faktor (variabel bebas) tunggal yang signifikan terhadap laba bruto bank syariah dari ketiga sampel bank tersebut, yang mampu dijelaskan secara memuaskan, dari sejumlah persamaan fungsi regresi yang dihasilkan. Sedangkaii, fungsi regresi yang menggunakan faktor tunggai simpanan ,nudharabah, yang secara statistik juga signifkan. secara substansi kurang menemukan penjelasan yang meumaskan. Kombinasi dari dua variabel bebas ini dalam satu persamaan fungsi regresi tidak dapat dilakukan karena bermasalah dalam hal multikolinieritas atau otokorelasi atau keduanya. Selain itu, hasil pengujian juga menunjukkan, bahwa meskipun faktor yang sama-sama signifikan adalah pembiayaan tetapi koefisien dan slop yang dihasilkan berbeda sehingga bisa disimpulkan bahwa pengaruh faktor pembiayaan terhadap masing-masing bank syariah tersebut adalah berbeda. Diduga hat tersebut berkaitan dengan lamanya operasi, faktor kepemilikan, modal dan size (ukuran) yang berbeda dari masing-masing bank syariah.

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This research is performed to seek whether there are influences from the factors of SBI's interest rate, exchanged rate Rp to US Dollar, IHSG. Financing (known as "credit" in term of conventional banks) and Mudharabah Deposits against Gross Profit of shariah banks in Indonesia using Bank Muamalat, Bank Syariah Mandiri and BNI (Unit) Syariah as our sample. In order to achieve those goals, we use linear regression equations with Ordinary Least Square (OLS) method to perform tests on monthly dan quartely data from January 2001 up to December 2003 which were taken from the financial statement of the banks. The result of the tests has shown that the financing has become the only factor or independent variable, statistically and substantially, that significantly influence the gross profit of the three banks above which can be rexplained, from the linear regression equations that resulted from the tests. Meanwhile, the linear regression equations whose using the mudharabah deposits as the only independent variable, which also significant statistically, substantially can not meet satisfactory explanations. The combination of these two variables in one linear regression equations also resulting problem of multicollinierity or autocorrelations or both. The tests also shown that eventhough the significant variable for the each banks is the financing but since the coefficients and the slopes from the each equations are different, we can conclude that the influences of the financing factor has the different degree for each banks. We believe that the sources of the difference are come from the period of the operations experienced, ownerships factor, the capital and the size of the each shariah banks.

Abstrak :
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. ......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.

Abstrak :
Skripsi ini mengevaluasi bagaimana faktor-faktor makroekonomi memengaruhi kredit macet (NPL) pada UMKM Indonesia dari Jan 2011 hingga Mar 2023. Dengan menggunakan model Autoregressive Distributed Lag (ARDL), penelitian ini menyelidiki NPL bersama dengan tujuh variabel: NPL tertunda, tingkat suku bunga, inflasi, PDB riil, kurs mata uang, pengangguran, dan jumlah uang beredar (M2), ditambah dengan variabel dummy kebijakan KUR. Temuan menyoroti hubungan signifikan antara variabel-variabel ini dan NPL, dengan menekankan dampak NPL tertunda, kebijakan KUR, suku bunga, kurs mata uang, pengangguran, dan M2. Efek asimetris juga teramati, berdasarkan besaran dan keterlambatan. Namun demikian, studi ini tidak mengesahkan sebab-akibat atau generalisabilitasnya karena keterbatasannya. ......This thesis assesses how macroeconomic factors affect non-performing loans (NPL) in Indonesian MSMEs from Jan 2011 to Mar 2023. Employing the Autoregressive Distributed Lag (ARDL) model, it investigates NPL alongside seven variables: lagged NPL, interest rates, inflation, real GDP, exchange rates, unemployment, and money supply (M2), plus a KUR policy dummy variable. The findings highlight significant relationships between these variables and NPL, emphasizing the impact of lagged NPL, KUR policy, interest rates, exchange rates, unemployment, and M2. Asymmetrical effects are also observed, based on magnitude and lag. This study, however, refrains from establishing causation or generalizability due to its limitations.

Abstrak :
This study examines the effect of Islamic screening criteria on Shari’ah-compliant portfolio selection and performance compared to Socially Responsible Investment (SRI) portfolio. Each portfolio constructed from 15 stocks based on FTSE 100 using data from year 1997. Mean-variance portfolio optimization is employed with some financial ratios added as constraints for the Shari’ah portfolio. Annual expected return of each portfolio from 2008 to 2013 is used to calculate Sharpe’s ratio, Treynor ratio and Jensen’s alpha as the performance measurement tools. Macroeconomic variables are assessed using ordinary least square to examine whether they influence the portfolios’ expected returns or not. The result finds that Shari’ah portfolio has a better performance than SRI from year 2008 to 2010 shown by higher value of the measurement tools. However, from 2011 to 2013, SRI portfolio has better performance than Shari’ah portfolio.