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"Tujuan utama manajemen perusahaan adalah memaksimalkan nilai saham perusahaan sehingga nilai kekayaan pemegang saham pun akan naik. Untuk itu perlu dilakukan analisis terhadap return saham terhadap berhagal parameter diantaranya Eonomic Value Added, Market Value Added dan rasio-rasio profitabilitas dalam kinerja keuangan Dalam penelitian ini terdapat dua puluh delapan perusahaan yang bergerak pada industri barang konsumsi (consumer good industry) yang dijadikan sampel. Faktor yang dianalisis adalah return saham sebagai variabel dependen dan Economic Value Added (EVA), Market Value Added (MVA), Earning per Share (EPS), ROE(Return an Equity), ROA (Return an Asset), PER (Price Earning Ratio), PBV (Price Book Value) dan BVPS (Book Value per share) sebagal variabel-variabel independen.

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The main goal of management is to maximize the value of company shares so that the value of shareholder wealth will increase. It needs to be done for the analysis of stock returns on various parameters including Eonomic Value Added, Market Value Added and profitability ratios in financial performance. In this study there were twenty-eight companies in consumer good industry which is used as the sample. Factors that are analyzed is the stock return as the dependent variable and Economic Value Added (EVA), Market Value Added (MVA), Earning per Share (EPS), ROE (Return on Equity), ROA {Return on Assets), PER (Price Earning Ratio), PBV (Price Book Value) and BVPS (Book Value per share) as independent variables."

"Manusia memiliki kebutuhan untuk melangsungkan hidupnya. Seiring waktu harga-harga kebutuhan akan naik dikarenakan inflasi. Untuk mengantisipasi inflasi, manusia melakukan investasi. Investasi dapat bermacam-macam seperti membeli aset-aset riil (tanah, emas, dsb), ataupun membeli surat-surat berharga (efek) di pasar modal. Saham merupakan jenis efek yang paling sering diperjualbelikan. Dalam melakukan investasi saham, seorang investor memiliki permasalahan untuk memilih saham-saham yang dapat menghasilkan nilai imbal balik yang diharapkan. Permasalahan ini akan coba dijawab oleh Support Vector Machine (SVM) dengan mengklasifikasikan saham-saham apa saja yang menghasilkan imbal hasil ≥1%, dan imbal hasil <1%. Atribut yang digunakan terdapat 22, terdiri dari indikator teknikal dan nilai yang diolah dari data historis saham. Data historis saham yang digunakan adalah data perdagangan harian 30 saham dari indeks IDX30 pada jangka waktu 1 September 2020 hingga 31 Agustus 2021. Data historis saham dari 1 September 2020 hingga 5 Juni 2021 digunakan sebagai data training, dan data historis saham dari 6 Juni 2021 hingga 31 Agustus 2021 digunakan sebagai data testing. Model SVM yang dihasilkan memiliki akurasi sebesar 99,44%. Setelah didapatkan saham-saham yang berpotensi menghasilkan keuntungan yang diharapkan melalui SVM, selanjutnya akan dibuat sebuah portofolio investasi dari kumpulan saham tersebut dengan metode Mean Variance (MV). Bobot tiap saham yang dipilih adalah bobot saham yang meminimalkan variansi dari portofolio. Sebagai pembanding digunakan model pembentukan portofolio Equal Weight Portofolio (EWP) dan kinerja dari indeks IDX30. Imbal hasil dari portofolio yang dibentuk oleh SVM+MV dan SVM+EWP jauh lebih baik dari indeks IDX30. Variansi portofolio dari SVM+MV lebih kecil daripada portofolio dari SVM+EWP.

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Human must has basic need to survive. The price of basic need will increase over time because the effect of inflation. To anticipate the inflation, human tend to invest. There are two kind of investment, real asset such as land and gold, and securities such as stock and obligation. Stock is the most actively traded. When an investor decide to invest on stock, investor have to choose which stocks that will generate enough return for himself. This problem would be solved by using Support Vector Machines. SVM is one of the machine learning technique for classification, in this case we will classify the the stock based on the return ≥1% or <1%. There are 22 attribute that used for SVM. Data come from historical stock data of 30 stocks from IDX30 index. The range is from 1 September 2020 untill 31 August 2021. Data from 1 September 2020 through 5 June 2021 would be training data and data from 6 June 2021 untill 31 August 2021 would be testing data. The result from SVM model has accuracy of 99,44%. The next thing to fo after we have which stock that will be choose is to build a portofolio from it. The portofolio theory of Mean Variance will be used to build portofolio from the result of prediction stock SVM. Mean Variance method will determine how much the portion of respective stock to be invested that would be maximize returns and also minimize investment risk. For measure how well the model perform, we used Equal Weight Portofolio (EWP) method and return of IDX30 index. The result is SVM+MV model and SVM+EWP model generate more return than the underlying index. The variance of portofolio that generated from SVM+MV are smaller than portofolio generated from SVM+EWP."

"Penelitian ini dilakukan untuk membahas pengaruh perubahan tingkat utang perusahaan energi yang terdaftar pada Bursa Efek Indonesia BEI periode 2012 sampai dengan 2016 terhadap tingkat pengembalian return saham, kinerja perusahaan dimasa depan dan tingkat investasi perusahaan dimasa depan. Penelitian yang dilakukan ini adalah penelitian kuantatif dengan menggunakan regresi panel. Hasil dari penelitian ini menunjukkan bahwa teori ketergantungan pada utang debt overhang theory tidak berlaku di Indonesia, dimana peningkatan proporsi utang tidak mengakibatkan tingkat investasi perusahaan dimasa depan mengalami penurunan. Penelitian ini membuktikan bahwa pengaruh peningkatan utang terhadap imbal hasil saham bukan disebabkan karena adanya kekurangan investasi underinvestment, melainkan dikarenakan penurunan kinerja dimasa depan sebagai dampak dari adanya dipercepatnya investasi accelerated investment.

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This research focuses on the effect of leverage change of Indonesian energy companies on stock returns, operational performances and future investment rate, to investigate the consistency of debt overhang theory. This research employs aquantitave approach with panel regression.

The impirical result show the leverage change does not have impact to firms future investment rate, hence debt overhang theory does not hold in the case of Indonesia. The effect of leverage change on stock return is not due to under investment, but rather a result opf deteriorated future operational performance as a consequence of accelerated investmernt."

"Penelitian ini bertujuan untuk mengetahui peran income dan financial literacy terhadap keputusan investasi saham dengan overconfidence dan risk aversion sebagai variabel mediasi. Data penelitian dikumpulkan melalui kuesioner online dengan sejumlah 210 responden yang berusia di atas 18 tahun, memiliki investasi dalam bentuk saham, dan berdomisili di wilayah Jabodetabek. Hasil penelitian menunjukkan bahwa overconfidence secara signifikan memiliki peran mediasi dalam pengaruh income dan financial literacy terhadap keputusan investasi saham. Sementara itu, risk aversion tidak memediasi pengaruh income dan financial literacy terhadap keputusan investasi saham. Hasil penelitian juga menunjukkan income dan financial literacy memiliki pengaruh positif terhadap overconfidence, sedangkan income dan financial literacy memiliki pengaruh negatif terhadap risk aversion.

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This study aims to determine the role of income and financial literacy on stock investment decisions with overconfidence and risk aversion as mediating variables. Research data was collected through an online questionnaire with a number of 210 respondents who were over 18 years old, had investments in stocks, and were domiciled in Jabodetabek. The results showed that overconfidence significantly has a mediating role in the effecst of income and financial literacy on stock investment decisions. Meanwhile, risk aversion does not mediate the effects of income and financial literacy on stock investment decisions. The results also show that income and financial literacy have positive effects on overconfidence, while income and financial literacy have negative effects on risk aversion."

"Asymptotic analysis of stochastic stock price models is the central topic of the present volume. Special examples of such models are stochastic volatility models, that have been developed as an answer to certain imperfections in a celebrated Black-Scholes model of option pricing. In a stock price model with stochastic volatility, the random behavior of the volatility is described by a stochastic process. For instance, in the Hull-White model the volatility process is a geometric Brownian motion, the Stein-Stein model uses an Ornstein-Uhlenbeck process as the stochastic volatility, and in the Heston model a Cox-Ingersoll-Ross process governs the behavior of the volatility. One of the author's main goals is to provide sharp asymptotic formulas with error estimates for distribution densities of stock prices, option pricing functions, and implied volatilities in various stochastic volatility models. The author also establishes sharp asymptotic formulas for the implied volatility at extreme strikes in general stochastic stock price models."

"Penelitian ini bertujuan untuk menganalisis pengaruh akrual total, akrual lancar, dan investasi kapital capital expenditure dengan imbal hasil saham. Penelitian dilakukan pada Bursa Efek Indonesia untuk perusahaan non-finansial dari tahun 2006-2015 dengan jumlah sampel 151 emiten. Model regresi yang digunakan adalah regresi data panel. Penelitian ini juga bertujuan mengetahui apakah terjadi anomali akrual dan anomali investasi kapital di Indonesia.Hasil dari penelitian ini menunjukkan bahwa terdapat hubungan negatif tidak signifikan antara investasi kapital dengan imbal hasil saham. Sementara itu, hubungan akrual lancar menunjukkan hubungan negatif signifikan dengan imbal hasil saham, tetapi total akrual positif yang signifikan dengan imbal hasil saham.

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This study examine the relationship between total accruals, current accruals, and capital investment capital expenditure with stock return. The research is conducted on 151 nonfinancial companies listed in the Indonesian Stock Exchange from 2006 ndash 2015. The regression model used is data panel regression. This study also examine whether the accrual anomaly and capital investment anomaly occurs in Indonesia.The result shows there is a negative insignificant relationship between capital investment and stock returns. On the other hand, the relationship between current accruals and stock returns is significantly negative, however total accrual is positive insignificant with stock returns."