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Today's technology has increased the interest in robotic systems and increase the number of studies realized in this area. There are many studies on robotic systems in several fields to facilitate human life in the literature. In this study, a robot hand is designed to repeat finger movements depending upon flexible sensors mounted on any wearable glove. In the literature, various sensors that detect the finger movement are used. The sensor that detects the angle of the fingers has been shown to provide high accuracy although cheap in present research. Moreover, by entering the sensor data into the open source interface program called Blender 3D, it can be seen on the program how the hand of the robot moves. Thanks to the prototype of robotic hand in this study is developed with different materials and mechanisms, it is possible to carry out experimental studies at low cost in places where it is unsuitable for human health and safety. The angle data on the sensors and servo motor position information are transmitted through the RF 433 MHz wireless module. The determinations related to robot hand control are performed with Arduino card.

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This study applies the Markowitz analysis to the Istanbul Stock Exchange and empirically investigates the performance of this tool in an emerging market setting. The results show that during the early years of establishment of an emerging stock exchange, an active strategy of mean variance portfolio, investing with monthly balancing, outperforms the passive strategies. However, at later stages the capital market liberalization changes market participants. Together, with the increase in foreign participation and integration of the market with the rest of the world, the performance of means variance efficient portfolios detoriate. The study also reports that the strategy is not effective during financial crisis.

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