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Abstrak :
Behavioral finance expert and bestselling author Robert Koppel shows traders and investors how to invest your money rationally, even in an irrational world. "Investing," according to Robert Koppel, "Involves far more than specific analytical and strategic skills. It requires the development of habits, thought patterns and creative attitudes that influence the way to think and act in the market. In Investing and the Irrational Mind, Koppel, author of the classic bestseller,The Inner Game of Trading, uses the latest advancements in behavioral finance and neuroeconomics to help you gain these habits, as well as the deep understanding of market risk factors necessary to successful portfolio building. Armed with 30 years' experience as an analyst, and fund manager, and interviews with top traders, behavioral economists, risk managers and neuroscientists, Koppel lets you build a personal arsenal of risk management skills ("quantitative architecture") necessary for investors at any level to develop a focused, disciplined, confident, and profitable approach to investing. Filled with surprising insights into human behavior, and rock-solid financial advice, this is the guide you need to invest in today's markets.

Abstrak :
Pasar modal merupakan salah satu komponen fundamental dari perekonomian negara, dimana investor dapat melakukan aktivitas jual-beli surat berharga sekuritas . Saham merupakan salah satu jenis sekuritas yang diperdagangkan di pasar modal, yang menandakan kepemilikan atas perusahaan beserta aset dan pendapatannya. Investasi saham memang bisa memberikan tingkat keuntungan lebih tinggi dibandingkan dengan instrumen investasi lain, tapi memilih saham yang mampu memberikan keuntungan tidaklah mudah karena harga saham sangat fluktuatif dari waktu ke waktu. Sehingga, investor perlu menentukan momentum yang tepat untuk membeli dan menjual saham. Oleh karena itu, investor perlu melakukan analisis secara real-time sebelum mengambil keputusan agar mampu memaksimalkan tingkat keuntungan dan menghindarkan resiko investasi. Metode analisis teknikal dengan pendekatan support vector machines digunakan dalam penelitian ini untuk membantu investor pada pengambilan keputusan dalam investasi saham. Pendekatan support vector machines sesuai untuk diterapkan pada himpunan data yang tidak linier, tidak stasioner, tidak terstruktur, dan kompleks; seperti data historis saham. Peneliti menggunakan data historis saham periode Januari 2008 ndash; Desember 2015 dari perusahaan di Indonesia yang terdaftar di dalam indeks LQ45. Penelitian ini mengedepankan investasi saham jangka pendek. Sehingga, keputusan yang dianjurkan oleh support vector machines pada penelitian ini lebih sesuai untuk diaplikasikan oleh swing investor jangka pendek . Penggunaan PT Jasa Marga Tbk. sebagai sampel menunjukkan bahwa support vector machines menghasilkan tingkat akurasi 74,26 dalam klasifikasi tiga kelas buy, hold, dan sell dan 82,67 dalam klasifikasi dua kelas buy dan sell. ......Stock market is one of the fundamental components of nation economy, where investor can buy or sell securities. Stock is one of the securities traded in the stock market, which signifies the ownership of companies with its revenue and asset. Stock investment may give higher return than another investment instrument, but picking profitable stock may not easy because stock price is very volatile time by time. So, investor needs determining the right momentum to buy and sell stock. Hence, investor needs a real time analysis before the decision making to get higher profit and hurdle risk. Technical analysis method with support vector machines approach is used in this study to help investor on decision making in stock investment. Support vector machines are suitable to be applied on nonlinear, nonstationary, unstructured, and complex dataset such as the stock historical data. The author uses the stock historical data January 2008 ndash December 2015 of the company in Indonesia listed in the LQ45 index. This study features a short term stock investment. So, the decision suggested by support vector machines in this study is more suitable to be applied for swing investor short term . The usage of PT Jasa Marga Tbk. as sample indicates that support vector machines yield 74,26 accuracy level in the three classes classification buy, hold, and sell and 82,67 in the two classes classification buy and sell .

Abstrak :
ABSTRAK
Penelitian ini bertujuan untuk mengetahui pengaruh: 1 Framing effect terhadap Pengambilan Keputusan Investasi; 2 Tanggung Jawab terhadap Pengambilan Keputusan Investasi; dan 3 Self efficacy terhadap Keputusan Pengambilan Investasi. Penelitian ini merupakan penelitian eksperimen semu quasi-experiment dengan desain eksperimen faktorial 2 x 2 x 2 between subject. Sampel pada penelitian ini adalah mahasiswa program pendidikan S1 Ekstensi program studi Akuntansi 2015 Fakultas Ekonomi dan Bisnis Universitas Indonesia sebanyak 120 orang dan mahasiswa program pendidikan S1 Ekstensi program studi Akuntansi 2016 Fakultas Ekonomi dan Bisnis Universitas Indonesia sebanyak 8 delapan orang. Teknik pengambilan sampel pada penelitian ini menggunakan teknik purposive sampling. Metode analisis data yang digunakan adalah ANOVA dengan uji normalitas dan homogenitas sebagai prasyarat. Hasil dari penelitian ini adalah: 1 Framing effect terbukti berpengaruh terhadap Pengambilan Keputusan Investasi, hal ini ditunjukkan dengan Pvalue signifikan sebesar 0,000 le;0,05 dan f hitung > f tabel yaitu sebesar 20,083 > 2,68; 2 Tanggung jawab terbukti tidak berpengaruh terhadap Pengambilan Keputusan Investasi, hal ini ditunjukkan dengan Pvalue signifikan sebesar 0,588 >0,05 dan f hitung < f tabel yaitu sebesar 0,295 < 2,68; dan 3 Self efficacy terbukti berpengaruh terhadap Pengambilan Keputusan Investasi, hal ini ditunjukkan dengan Pvalue signifikan sebesar 0,045 f tabel yaitu sebesar 4,091 > 2,68.

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ABSTRACT
This research aims to know the influence of 1 Framing effect to Investment Decision Making 2 Responsibility to Investment Decision Making and 3 Self efficacy to Investment Decision Making. This research is a quasi experiment research with design factorial 2 x 2 x 2 between subject. The sample were 120 Extension Program Faculty Economics and Business 2015 students and 8 Extension Program Faculty Economics and Business 2016. The sampling technique in this research used purposive sampling with total sample as 128 students. Methods of data analysis used ANOVA with normality and homogeneity test as a prerequisite. The result of this research were 1 Framing effect influence an Investment Decision Making, as shown by significant Pvalue of 0,000 le 0,05 and f hitung f tabel of 20,083 2,68 2 Responsibility did not influence an Investment Decision Making, as shown by significant Pvalue of 0,588 0,05 and f hitung f tabel of 0,295 2,68 and 3 Self efficacy influence an Investment Decision Making, as shown by significant Pvalue of 0,045 le 0,05 and f hitung f tabel of 4,091 2,68.