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"Multi-asset risk modeling describes, in a single volume, the latest and most advanced risk modeling techniques for equities, debt, fixed income, futures and derivatives, commodities, and foreign exchange, as well as advanced algorithmic and electronic risk management. Beginning with the fundamentals of risk mathematics and quantitative risk analysis, the book moves on to discuss the laws in standard models that contributed to the 2008 financial crisis and talks about current and future banking regulation. Importantly, it also explores algorithmic trading, which currently receives sparse attention in the literature. By giving coherent recommendations about which statistical models to use for which asset class, this book makes a real contribution to the sciences of portfolio management and risk management."

"House of Risk (HOR) merupakan integrasi antara dua model penelitian yaitu metode Failure Mode and Effect Analysis (FMEA) dan House of Quality (HOQ) yang berfokus pada penentuan tindakan pencegahan terhadap sumber risiko yang telah tereliminasi. Metode House of Risk (HOR) banyak digunakan untuk melakukan penanganan terhadap permasalahan yang terjadi di berbagai industri. Penanganan risiko sendiri terdiri dari proses identifikasi kejadian, lalu menganalisis kejadian tersebut apakah berpotensi menyebabkan munculnya risiko, dan terakhir menentukan tindakan pencegahan yang tepat dalam menangani risiko tersebut. Pada penelitian ini, House of Risk digunakan sebagai alat untuk menangani risiko terkait pemindahan workshop PT Indopelita Aircraft Service dari Rancaekek ke Pondok Cabe. Penelitian ini diawali dengan mengidentifikasi kejadian risiko yang bisa memberikan pengaruh buruk terhadap proses pemindahan workshop serta menganalisis kejadian untuk mendapatkan informasi tentang sumber risiko. Proses identifikasi dan analisis tersebut dilakukan bersama dengan para ahli yang berpengalaman di bidangnya. Setelah melakukan pengolahan data dengan House of Risk (HOR) tahap 1 maka diperoleh 21 kejadian risiko dan 60 penyebab risiko. Berdasarkan perhitungan Pareto, terdapat 15 agen risiko yang mencakup 80% dari total Aggregate Risk Potential (ARP) dan dipilih sebagai prioritas mitigasi. Penyebab risiko dengan nilai Aggregate Risk Potential (ARP) terbesar adalah pekerja melakukan pekerjaan diluar standar operasional prosedur yang telah ditetapkan dengan nilai sebesar 1872. Lalu pada House of Risk (HOR) tahap 2 diperoleh nilai efektivitas tertinggi yaitu sebesar 15387 yaitu mengumpulkan data-data sebelumnya baik dari buku manual ataupun dari hasil dokumentasi untuk menghindari risiko kehilangan.

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House of Risk (HOR) is an integration between two research models, namely the Failure Mode and Effect Analysis (FMEA) method and the House of Quality (HOQ) which focus on determining preventive measures for eliminated risk sources. The House of Risk (HOR) method is widely used to handle problems that occur in various industries. Risk management itself consists of the process of identifying events, then analyzing these events whether they have the potential to cause risks, and finally determining appropriate preventive measures in dealing with these risks. In this study, the House of Risk is used as a tool to deal with risks related to the transfer of the PT Indopelita Aircraft Service workshop from Rancaekek to Pondok Cabe. This research begins by identifying risk events that could adversely affect the process of moving the workshop and analyzing events to obtain information about risk sources. The process of identification and analysis is carried out together with experts who are experienced in their fields. After processing the data with the House of Risk (HOR) stage 1, 21 risk events and 60 risk causes were obtained. Based on Pareto calculations, there are 15 risk agents covering 80% of the total Aggregate Risk Potential (ARP) and are selected as mitigation priorities. The cause of the risk with the largest Aggregate Risk Potential (ARP) value is workers doing work outside the standard operating procedures that have been set with a value of 1872. Then in the House of Risk (HOR) stage 2, the highest effectiveness value was obtained, namely 15387, namely collecting previous data either from manuals or from documentation results to avoid the risk of loss."

"Penelitian ini dilakukan untuk mengetahui hal apa saja yang dapat memengaruhi stabilitas bank. Pengaruh tersebut terutama berasal dari risiko perbankan berupa risiko likuiditas dan risiko kredit. Pada penelitian ini sampel yang digunakan adalah sebanyak 41 bank konvensional terbuka dari 5 negara ASEAN yang mengalami resesi akibat pandemi Covid-19 pada Tahun 2020. Analisis pada penelitian ini menggunakan metode GMM dan VECM dengan data kuartalan pada periode Q4 2015 hingga Q3 2020 sehingga mencakup periode sebelum dan ketika terjadinya krisis. Hasil penelitian ini menemukan adanya pengaruh timbal balik antara kedua risiko perbankan tersebut dalam jangka panjang dan keduanya pun secara bersamaan memengaruhi stabilitas bank secara signifikan. Hasil penelitian ini dapat memberikan pemahaman yang lebih mendalam tentang manajemen risiko perbankan dengan tujuan untuk meningkatkan stabilitas bank.

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This study was conducted to determine any matter that may affect the stability of the bank. This influence mainly comes from banking risk in the form of liquidity risk and kredit risk. In this study, the sample used was 41 open conventional banks from 5 ASEAN countries that experienced a recession due to the Covid-19 pandemic in 2020. The analysis in this study uses the GMM and VECM methods with quarterly data in the period Q4 2015 to Q3 2020 so that it covers the period before and during the crisis. The results of this study found that there is a reciprocal effect between the two banking risks in the long term and both simultaneously significantly affect bank stability. The results of this study can provide a deeper understanding of banking risk management with the aim of increasing bank stability."

"Penelitian ini bertujuan untuk menganalisis konsistensi Risk Adjusted Return meliputi indeks Sharpe; Treynor dan Jensen sebagai pengukur kinerja Reksa Dana Saham Syariah dan menganalisis konsistensi kinerja 8 (delapan) Reksa Dana Saham Syariah di Indonesia (Batavia Dana Saham Syariah; BNP Paribas Pesona Amanah; PNM Ekuitas Syariah; Manulife Syariah Sektoral Amanah; Trim Syariah Saham; CIMB Principal Islamic Equity; Mandiri Investa Atraktif Syariah dan Cipta Syariah Equity). Metode yang digunakan adalah dengan mengukur kinerja masing-masing Reksa Dana berdasarkan ketiga indeks pengukur yang selanjutnya diklasifikasi menjadi kinerja yang superior dan inferior. Superior bila berkinerja diatas rata-rata atau inferior bila berkinerja dibawah rata-rata. Kemunculan superior atau inferior diuji konsistensinya menggunakan Chi Square yang membandingkan nilai Chi Square tabel dengan Chi Square hitung. Hasil pengujian yang dilakukan menunjukkan metode risk adjusted return meliputi indeks Sharpe; Treynor dan Jensen tidak konsistensi sebagai pengukur kinerja Reksa Dana Saham Syariah. Hasil pengujian lainnya diketahui kinerja Reksa Dana Saham Syariah tidak konsisten selama periode pengamatan yakni Januari 2009 hingga Desember 2012 di Indonesia.

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This research aims to analyze the consistency of Risk Adjusted Return Sharpe covering index; Treynor and Jensen as a measure of the performance of Shariah Equity Fund and the performance consistency of 8 (eight) Shariah Equity Fund in Indonesia (Batavia Dana Saham Syariah; BNP Paribas Pesona Amanah; PNM Ekuitas Syariah; Manulife Syariah Sektoral Amanah; Trim Syariah Saham; CIMB Principal Islamic Equity; Mandiri Investa Atraktif Syariah and Cipta Syariah Equity). The method is to measure the performance of Fund by three indexes measuring further classified into superior and inferior performance. Superior when performing above average or inferior when performing below average. The emergence of superior or inferior tested for consistency using the Chi Square test by compares the value of Chi Square with Chi Square table. The results have shown that risk adjusted return method includes the Sharpe index; Treynor and Jensen is not consistency as a measure of the performance of Shariah Equity Fund. The other results is Shariah Equity Fund performance is not consistent over the observation period January 2009 to December 2012 in Indonesia."

"Penelitian ini menyajikan analisa dari hasil pengolahan data risiko operasional pada portofolio Submarine Cable Service di Telkominfra. Tujuan penelitian ini adalah untuk mengetahui risiko yang sering terjadi, mengetahui akar masalah, memberikan mitigasi risiko, dan mengetahui besar pencadangan modal yang diperlukan portofolio Submarine Cable Service Telkominfra. Penelitian ini dilakukan dengan metode kualitatif yaitu wawancara untuk mengetahui risiko, akar masalah, dan usulan mitigasi risiko, serta metode kuantitatif untuk menghitung pencadangan modal. Perhitungan pencadangan modal dilakukan dengan mencari nilai Operation Risk Variance (OpVar) menggunakan metode Monte Carlo simulation. Hasil penelitian menunjukan bahwa risiko yang paling sering terjadi dan memiliki dampak paling besar yaitu risiko keterlambatan akibat ketidaktersediaan kapal. Telkominfra memerlukan pencadangan modal sebesar Rp 2,163,975,476 per kejadian sebagai bentuk mitigasi risiko keterlambatan pekerjaan pada portofolio Submarine Cable Service untuk menjaga kestabilan likuiditas perusahaan.

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This study analyzes the operational risk event on the Submarine Cable Service portfolio at Telkominfra. The purpose of this study is to determine the most impactful risk, the root cause of the risk, the amount of capital reserves, and to provide risk mitigation for Submarine Cable Service Telkominfra. Methods use in this study are both qualitative and quantitative methods. Qualitative method used is interviews to determine risks, root causes, and risk mitigation. Quantitative method uses to calculate capital reserves. Calculation of capital reserves is done by finding the value of Operation Risk Variance (OpVar) using the Monte Carlo Simulation. The results of this study show that the risk that occurs most often and has the greatest impact is the risk of delays due to the unavailability of vessels. Telkominfra requires a capital reserve of Rp 2,163,975,476 per event to mitigate the risk of work delays in the Submarine Cable Service portfolio to secure the stability of company’s liquidity."

"List of figures -- List of tables -- Preface -- An introduction to excel vba -- Background -- Structured products -- Volatility modeling -- Fixed-income derivatives I : short-rate models -- Fixed-income derivatives II : libor market models -- Credit derivatives and counterparty credit risk -- Value-at-risk and related risk measures -- The Greeks -- Appendix -- References -- Subject index -- Author index."