Following U.S stocks are among the “Most Active” Stocks in the course of last trading session, Friday: Bank of America Corp (NYSE:BAC), International Business Machines Corp.(NYSE:IBM)
Shares of Bank of America Corp (NYSE:BAC) dropped -0.07% to $14.52 on Friday. The share price is trading in a range of 14.43 – 14.70 (Price in Dollars). The stock exchanged hands with 81,215,743 shares contrast to its average daily volume of 100,330,000 shares. During the most recent trading day, the stock’s price shifted up +32.62 percent from its 52-week-low while -20.65 percent lower from its 52-week high. According to Bloomberg, Federico Ghizzoni may resign as chief executive officer of UniCredit SpA as soon as Tuesday as Italy’s biggest bank bows to investor demands for a change in management, people with knowledge of the situation said.
The board is expected to call a special meeting tomorrow to authorize its nomination committee to began the search for a new CEO, the people said, asking not to be identified because the discussions are private.
When asked Monday about his possible departure, Ghizzoni said only that he has reserved Tuesday for a board meeting that has yet to be confirmed. “Today is business as usual,” he said during a press conference in Madrid where the bank is opening a new office.
Possible successors include Marco Morelli, head of Bank of America Corp.’s Italian operations and former chief financial officer of Banca Monte dei Paschi di Siena SpA. Lucrezia Reichlin, a member of the UniCredit board and the European Central Bank’s former head of research, could be named chairwoman, replacing Giuseppe Vita, according to Italian media reports. Bloomberg Report
Shares of International Business Machines Corp.(NYSE:IBM), inclined 1.59% to $147.24. The 52-week range of the share price is from 116.90 – 173.78 (Price in Dollars). The beta value for this stock stands at 0.70 points. The company has total market capitalization of $143.61B. Shares of company were moving above of 50 days simple moving average with 0.37% while 200 days simple moving average with 6.09%. International Business Machines Corp generated a return on investment of 24.70% in past 12 months and return on equity of 91.70% for similar period. Advanced Micro Devices (AMD), ARM (ARMH), Huawei, IBM (IBM), Mellanox (MLNX), Qualcomm Technologies Inc., a partner of Qualcomm Incorporated (QCOM), and Xilinx, Inc. (XLNX) have joined forces to bring a high-performance open acceleration framework to data centers. The companies are collaborating on the specification for the new Cache Coherent Interconnect for Accelerators (CCIX). For the first time in the industry, a single interconnect technology specification will ensure that processors using different instruction set architectures (ISA) can coherently share data with accelerators and facilitate efficient heterogeneous computing – significantly improving compute efficiency for servers running data center workloads.
Accelerating applications in the data center has become a requirement because of power and space constraints. Applications such as big data analytics, search, machine learning, NFV, wireless 4G/5G, in-memory database processing, video analytics, and network processing, benefit from acceleration engines that need to move data seamlessly among the various system components. CCIX will allow these components to access and process data irrespective of where it resides, without the need for complex programming environments. This will facilitate both off-load and bump-in-the-wire inline application acceleration while leveraging existing server ecosystems and form factors, thereby lowering software barriers and improving total cost of ownership (TCO) of accelerated systems.
“AMD strongly supports development of open standards to make heterogeneous computing more pervasive,” said Gerry Talbot, AMD corporate fellow and vice president of I/O and circuit technologies. “By joining with others in the industry to develop new interconnect specifications to accelerate performance, AMD continues its commitment to open, heterogeneous computing.”