An Analysis of the Effects of Seismic Events on The Turkish Stock Market

Purpose – This study aims to elaborate on the mechanisms of interaction between seismic events and the Turkish stock markets. Design/methodology/approach – To model this relationship, the properties of earthquakes has been modeled using Mw and ML parameters. Earthquakes’ distance to the surface and the distance to the closest city center are also added as independent variables. Dataset consists of 7333 observations of daily frequency between 01.01.2000 – 28.01.2020 covering longer than a 20-year period. The index of BIST TUM is used to represent the response of the Turkish stock market. Preliminary analysis on the dataset suggested a threshold effect and therefore, the threshold VAR model has been used to model the series. Findings – Findings validate the existence of a significant threshold effect at 4.3 magnitude, which points out to the conclusion that earthquakes below a certain magnitude do not have a significant relationship with the stock markets in Turkey. Additionally, as seismic events occur closer to the surface, their negative effects on the market seem to amplify. This effect is also observed as seismic events get closer to city centers. Additionally, non-damaging seismic events seem to cause substantial market responses. Discussion – The effects of nondestructive earthquakes along with the effects of aftershocks following a destructive earthquake indicate that the financial consequences of earthquakes in Turkey are likely to be more related to the perception of risk, rather than the actual destructiveness of the earthquake. Findings also indicate that the aftershocks following a big earthquake hasten the recovery of the BIST TUM index

Testing BIST for Equity Return Anomalies using ARDL Model

Purpose – This study analyzes the Borsa İstanbul against equity return anomalies. With this purpose, the role of key financial stability indicators on long and short-term volatility movements in Borsa Istanbul has been tested. Design/methodology/approach – The model used in the study attempts to explain the volatility in stock prices using Return on Equity, Equity Ratio, and Net forex position over net income. Zivot Andrews and ARDL bounds tests have been conducted on the series and cointegration relationships between all of the companies are detected. Following this, long term ARDL models and Error correction models have been implemented on each of the series. The data set used in the study covers the period between 2000Q3-2019Q4 at the quarterly frequency. 5 companies are selected out of the BIST100 index with the highest price maturity, excluding the financial institutions. Findings – Results of the study indicate that both Return on Equity and Equity Ratio have statistically significant, inverse relationships with the analyzed companies both long and in short term. However, for the companies used in the study, the net forex position had no significant effect. Discussion – As the majority of the stock price volatilities are affected negatively by the equity return factors, the findings of the study reject the existence of a market-wide equity return anomaly in the Turkish stock market. However, the net forex position is one of the most significant risk factors for the Turkish firms and as findings indicate, it is alarming that it plays no part at all in the investment decisions

Testing BIST for Equity Return Anomalies using ARDL Model

Purpose – This study analyzes the Borsa İstanbul against equity return anomalies. With this purpose, the role of key financial stability indicators on long and short-term volatility movements in Borsa Istanbul has been tested. Design/methodology/approach – The model used in the study attempts to explain the volatility in stock prices using Return on Equity, Equity Ratio, and Net forex position over net income. Zivot Andrews and ARDL bounds tests have been conducted on the series and cointegration relationships between all of the companies are detected. Following this, long term ARDL models and Error correction models have been implemented on each of the series. The data set used in the study covers the period between 2000Q3-2019Q4 at the quarterly frequency. 5 companies are selected out of the BIST100 index with the highest price maturity, excluding the financial institutions. Findings – Results of the study indicate that both Return on Equity and Equity Ratio have statistically significant, inverse relationships with the analyzed companies both long and in short term. However, for the companies used in the study, the net forex position had no significant effect. Discussion – As the majority of the stock price volatilities are affected negatively by the equity return factors, the findings of the study reject the existence of a market-wide equity return anomaly in the Turkish stock market. However, the net forex position is one of the most significant risk factors for the Turkish firms and as findings indicate, it is alarming that it plays no part at all in the investment decisions

Prediction of Pathological Subjects Using Genetic Algorithms

This paper aims at estimating pathological subjects from a population through various physical information using genetic algorithm (GA). For comparison purposes, K-Means (KM) clustering algorithm has also been used for the estimation. Dataset consisting of some physical factors (age, weight, and height) and tibial rotation values was provided from the literature. Tibial rotation types are four groups as RTER, RTIR, LTER, and LTIR. Each tibial rotation group is divided into three types. Narrow (Type 1) and wide (Type 3) angular values were called pathological and normal (Type 2) angular values were called nonpathological. Physical information was used to examine if the tibial rotations of the subjects were pathological. Since the GA starts randomly and walks all solution space, the GA is seen to produce far better results than the KM for clustering and optimizing the tibial rotation data assessments with large number of subjects even though the KM algorithm has similar effect with the GA in clustering with a small number of subjects. These findings are discovered to be very useful for all health workers such as physiotherapists and orthopedists, in which this consequence is expected to help clinicians in organizing proper treatment programs for patients

Modification of ΔlogR method and Nonlinear Regression Application for Total Organic Carbon Content Estimation from Well Logs

ΔlogR method is one of the most widely utilized techniques for estimation of Total Organic Carbon (TOC) content form well logs. The traditional ΔlogR method reveals the assumption of linear relationship between logarithmic resistivity and porosity log. In this study, the method is modified by means of integral calculus to acquire the actual trend between logarithmic resistivity and porosity log. Furthermore, unlike to the traditional method, the maturity is additionally represented with logarithm of organic maturation temperature. Nonlinear regression is applied to optimize the unclear organized parameters required for computation of TOC content. The final forms of the equations are observed to be appropriate for the nonlinear regression application. The TOC estimations are observed to be improved with the modified versions in case traditional methods are unsatisfactory due to the related assumption expressed above. With the introduced methodology the TOC of unconventional reservoirs and source rocks can be more accurately calculated

IMPLEMENTATION OF VIRTUAL REALITY ENHANCED CONTINUOUS PERFORMANCE TEST DESIGNED FOR ATTENTION DEFICIT HYPERACTIVITY DISORDER DIAGNOSIS

The purpose of the study is to implement a virtual reality (VR) enhanced continuous performance test (CPT) specifically designed as an aid to attention deficit hyperactivity disorder (ADHD) diagnosis with the newest enabling technologies. To realize such an objective, firstly, the VR technology enabled ADHD diagnosis methodologies are investigated and required metrics are analyzed. Then, a new model is constructed in order to measure the required metrics and an assessment methodology is adopted to evaluate such metrics to cooperate with the created VR application. As the contribution, a new measurement model and procedure are presented and the effectiveness of the system is going to be examined in future studies

Evaluation of the Electronic Resource Usage of Ankara University Faculty Members

Günümüzde üniversiteler, eğitim-öğretim, araştırma ve uygulama faaliyetleri içerisinde bulunabilmek için bilimsel bilgiye en doğru ve en hızlı biçimde ulaşmayı hedeflemektedir. Bundan dolayı, Ankara Üniversitesi akademik personelinin bilimsel bilgiye erişim için çağdaş bilgi ve iletişim teknolojilerini kullanması kaçınılmazdır. Bilimsel her veri tabanının standart taşıması gereken belirli özellikleri bulunmaktadır. Bu özellikler veri tabanında yer alan verilere erişimin doğru ve hızlı olması bakımından önem kazanmaktadır. Ankara Üniversitesi mensuplarına gereksinim duyacakları bilimsel bilgi kaynakları elektronik ortamda en çağdaş bilgi ve iletişim teknolojilerini kullanarak sunulmaktadır. Bu araştırmada, Ankara Üniversitesi akademik personelinin bilgi gereksinimleri doğrultusunda oluşturulan ve elektronik kütüphanede yer alan veri tabanlarının kullanılıp kullanılmadığının belirlenmesi amaçlanmış; bu amaca yönelik bilgi modeli ve içeriği belirlenerek uygulamaların gerçekleştirilmesi hedeflenmiştir.Education, research, and implementation activities of universities necessitate access to information in the most accurate and fastest manner in today's conditions. In this regard; Members of Ankara University have to access scientific information through the most contemporary information and communication technology in the electronic environment, primarily through the global internet system. Each scientific database has specific standard characteristics. These properties gain importance in terms of the correctness and speed of access to the data contained in the database. The sources of scientific information that the members of Ankara University will need are presented in the electronic environment using the most contemporary information and communication technologies. This article aims to determine the information needs of the members of Ankara University and to determine the information access and the use of information by identifying the information access model for researching the educational facilities and the necessary infrastructure and technical support so that the maximum benefit can be obtained from the electronic library. Aims at realizing their application by determining the information model and content for this purpose