Simple VaR Calculator provides: - Evaluation of return distribution of single asset or portfolio of assets - Volatility forecasts using moving average and exponential algorithm - Value at Risk of single asset or portfolio measurement using parametric and historical simulation. - Historical data can be obtained from simple text file or MS Excel using Matlab Excel Links.
標簽： distribution Calculator Evaluation portfolio
上傳時間： 2013-12-21
上傳用戶：hasan2015
This program uses Markowitz portofolio theory to find combination of stocks in a portfolio which has minimum variance for expected returns
標簽： combination portofolio Markowitz portfolio
上傳時間： 2017-05-07
上傳用戶：李彥東
Implements Maximum likelihood estimation of beta and other parameters for model of stock portfolio vs. index using kalman filter
標簽： Implements likelihood estimation parameters
上傳時間： 2013-12-28
上傳用戶：zhangzhenyu
Matlab program to plot efficient frontier and minimum variance portfolio
標簽： efficient portfolio frontier variance
上傳時間： 2014-01-24
上傳用戶：lnnn30
Virtex-5, Spartan-DSP FPGAs Application Note This application note demonstrates how efficient implementations of Digital Up Converters(DUC) and Digital Down Converters (DDC) can be done by leveraging the Xilinx DSP IPportfolio for increased productivity and reduced time to development. Step-by-step instruction is given on how to perform system-level trade off analysis and develop the most efficient FPGA implementation, thus allowing engineers a flexible, low-cost and low-power alternative to ASSP technologies.
標簽： Spartan-DSP Virtex FPGAs Ap
上傳時間： 2013-10-23
上傳用戶：raron1989
A .zip file contains a series of scripts that were used in the MathWorks webinar "Using MATLAB to Develop portfolio Optimization Models." The scripts generate 3D efficient frontiers for a universe of 44 stocks with time as the third axis. Additional scripts perform various ex-ante and ex-post analyses. Results are generated with and without market adjustments in the data. A readme.txt. file in the .zip folder describes each script and how to use it
標簽： MathWorks contains scripts webinar
上傳時間： 2014-01-04
上傳用戶：trepb001
Connecting 32-bit controlled applications in the industrial, commercial and consumer markets is fast becoming a necessity rather than an option. Many new applications, such as remote data collection, home automation and networked appliances, require secure, high-performance connectivity at an economical price. Freescale Semiconductor gives design engineers the flexibility to choose the right 32-bit microcontroller from a broad portfolio of ColdFire? embedded controllers.
上傳時間： 2017-02-18
上傳用戶：traff07
S32K1xx Series Reference Manual 用戶手冊--2029頁 Supports S32K116, S32K118, S32K142, S32K144, S32K146, and S32K148S32K是一款符合AEC-Q100規范、基于32位ARM Cortex-M4F和Cortex-M0+內核的MCU，適用于通用汽車和高可靠性工業應用。The S32K1xx product series further extends the highly scalable portfolio of Arm? Cortex?-M0+/M4F MCUs in the automotive industry. It builds on the legacy of the KEA series, while introducing higher memory options alongside a richer peripheral set extending capability into a variety of automotive applications. With a 2.70–5.5 V supply and focus on automotive environment robustness, the S32K product series devices are well suited to a wide range of applications in electrically harsh environments, and are optimized for cost-sensitive applications offering low pin-count options. The S32K product series offers a broad range of memory, peripherals, and package options. It shares common peripherals and pin counts, allowing developers to migrate easily within an MCU family or among the MCU families to take advantage of more memory or feature integration. This scalability allows developers to use the S32K product series as the standard for their end product platforms, maximizing hardware and software reuse and reducing time to market
標簽： S32K116 S32K118 S32K142 S32K144
上傳時間： 2022-04-16
上傳用戶：jason_vip1
STM32CubeMX是ST出的一款免費的開發工具，近幾年ST也在一直大力推這個工具，也在推行新的HAL庫（an STM32 abstraction layer embedded software ensuring maximized portability across the STM32 portfolio）硬件抽象層API。使用HAL庫開發的好處是方便用戶在不同的芯片平臺上移植代碼。Cube的作用是通過圖形化的配置生成基礎的工程文件，生成的文件包含了芯片初始化代碼，現支持IAR、MDK、TureSTUDIO等IDE, 對于用慣了使用標準庫開發的我來說我覺得還是非常方便的。
標簽： cubemx教程
上傳時間： 2022-07-21
上傳用戶：
