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Yayın Investor behavior and risk perception: a gender perspective(International Strategic Management and Managers Association, 2023-12) Teker, Dilek; Teker, Suat; Demirel Gümüştepe, EsinFinancial literacy is explained as the cognitive understanding of financial indicators and risk aversion, risk perception and investor behavior. Perhaps the investor behavior may vary depending on several factors such as gender, age, income level, social status, education etc. This research aims to highlight the effect of gender on financial market perception among Turkish investors. The outputs of two surveys the first for the last quarter of 2022 and the second for the first quarter of 2023, are analysed and compared. Therefore, two consecutive quarters are compared by gender for investment behaviors. This reserach observes some factors such as stress level, portfolio holding times, investment decisions and expectations regarding cryptocurrency markets. The methodology follows the Cronbach Alpha, Kolmogorov-Smirnov and ShapiroWilk Normality, and Mann-Whitney U tests respectively. The findings support gender differences in perception and investment behavior.Yayın Backcasting Bitcoin prices: implementation with ARCH & GARCH models(International Journal of Economics, Commerce and Management, 2024-12) Teker, Dilek; Teker, Suat; Demirel Gümüştepe, EsinBitcoin, the first decentralized cryptocurrency, has gained popularity among investors for several reasons. Its potential for high returns makes it attractive to those seeking alternatives to traditional investments. Bitcoin's volatility provides both risk and reward, drawing in speculative investors. Moreover, Bitcoin operates independently of central banks or governments, appealing to those wary of inflation and economic instability. As more businesses and financial institutions adopt Bitcoin as an investment tool and a medium of exchange, its appeal continues to grow. For institutional investors, Bitcoin offers a way to diversify portfolios amid low interest rates and geopolitical uncertainty. However, the volatility in Bitcoin markets tends to be a risk exposure, so developing models to understand Bitcoin fluctuations is crucial to determining more about market behavior. Accurate financial models help predict price movements, manage risk, and identify macroeconomic correlations. Given its complexity, these models are essential for long-term investors to navigate volatility and optimize their investment strategies. This research employs ARCH and GARCH models to forecast Bitcoin volatility. The outputs indicate that ARIMA is the best fit model that explains Bitcoin’s price fluctuations in the selected data period.
