scholarly journals Computational Mindfulness

2021 ◽  
Vol 2 (3) ◽  
pp. p88
Author(s):  
Philip Z. Maymin ◽  
Stella P. Maymin
Keyword(s):  
Time Series ◽  
Quantum Mechanics ◽  
Granger Causality ◽  
Computational Approach ◽  
Causality Analysis ◽  
Abstract Concepts ◽  
Active Process ◽  
Preliminary Results ◽  
Granger Causality Analysis ◽  
Brain Waves

We take a computational approach to investigating highly abstract concepts including mindfulness, brain waves, and quantum mechanics. Using Langerian non-meditative mindfulness, defined as the active process of noticing new things, we find that when tested on the authors as subjects in two different ways, induced mindfulness is consistently distinguishable from induced mindlessness, and results in a calmer time series of brain waves as measured on an electroencephalogram. Additional results include a statistical Granger causality analysis of scholarly mindfulness research showing that Langerian mindfulness research causes future mindfulness research but not vice versa, and preliminary results from another study showing substantial differences in responses among subjects induced to view their own faces either mindfully or mindlessly.

HUBUNGAN KAUSALITAS HARGA JUAL DAN HARGA SEWA APARTEMEN DI JABODETABEK

2021 ◽  
Vol 1 (1) ◽  
pp. 93-105
Author(s):  
Zainal Zawir Simon ◽  
Effendy Zain ◽  
Zulihar Zulihar
Keyword(s):  
Time Series ◽  
Granger Causality ◽  
Time Series Data ◽  
Investment Analysis ◽  
Series Data ◽  
Analysis Tool ◽  
Selling Price ◽  
Causality Analysis ◽  
Granger Causality Analysis ◽  
Causality Relationship

Abstrak Penelitian ini bertujuan untuk mengetahui hubungan kausalitas antara harga jual apartemen dan harga sewa apartemen di wilayah Jabodetabek. Data yang dipergunakan adalah data  time series dalam bentuk kuartalan untuk periode 2007:1-2018:3 dan alat analisis yang dipergunakan adalah analisa kausalitas Granger. Hasil penelitian menunjukkan bahwa tidak terdapat hubungan kausalitas antara harga jual apartemen dan harga sewa apartemen di wilayah Jabodetabek. Dengan kata lain perubahan harga jual  tidak mempengaruhi harga sewa. Sebaliknya harga sewa juga tidak mempengaruhi harga jual apartemen. Dengan demikian Investor diharapkan dalam melakukan analisis investasinya memasukkan faktor-faktor lain yang dapat mempengaruhi harga jual dan harga sewa untuk apartemen, agar terlepas dari pandangan bahwa harga jual mempengaruhi harga sewa dan sebaliknya.Kata Kunci : Harga Jual apartemen, Harga Sewa Apartemen, Data Runtut Waktu, Analisa Kausalitas GrangerABSTRACTThis study aims to determine the causality relationship between the selling price of apartments and apartment rental prices in the Greater Jakarta area. The data used are time series data in quarterly form for the period 2007: 1-2018: 3 and the analysis tool used is the Granger causality analysis. The results showed that there was no causality relationship between apartment selling prices and apartment rental prices in the Greater Jakarta area. In other words, changes in selling prices do not affect rental prices. Conversely the rental price also does not affect the selling price of the apartment. Thus Investors are expected to carry out investment analysis to include other factors that can affect the selling price and rental price for an apartment, so that regardless of the view that the selling price affects the rental price and vice versa.Keywords : Selling Price of apartments, rental prices apartments, time series data, Granger Causality Analysis

scholarly journals Ability of Granger Causality Analysis to Detect Indirect Links: A Simulation Study

2020 ◽  
Vol 23 (2) ◽  
pp. 121-124
Author(s):  
N. W. Falasca ◽  
R. Franciotti
Keyword(s):  
Time Series ◽  
Granger Causality ◽  
Time Domain ◽  
Simulated Data ◽  
Biological Data ◽  
Connection Strength ◽  
Connectivity Analysis ◽  
Causality Analysis ◽  
Granger Causality Analysis ◽  
Virtual Time

Granger causality (G-causality) has emerged as a useful tool to investigate the influence that one system can exert over another system, but challenges remain when applying it to biological data. Specifically, it is not clear if G-causality can distinguish between direct and indirect influences. In this study time domain G-causality connectivity analysis was performed on simulated electroencephalographic cerebral signals. Conditional multivariate autoregressive model was applied to 19 virtual time series (nodes) to identify the effects of direct and indirect links while varying one of the following variables: the length of the time series, the lags between interacting nodes, the connection strength of the links, and the noise. Simulated data revealed that weak indirect influences are not identified by Gcausality analysis when applied on covariance stationary, non-correlated electrophysiological time series.

scholarly journals Relationship between Remittance and Credit Disbursement of the Banking Sector: A Study from Bangladesh

2016 ◽  
Vol 1 (1) ◽  
pp. 39-52 ◽  
Author(s):  
Dewan Muktadir-Al-Mukit ◽  
Nazrul Islam
Keyword(s):  
Time Series ◽  
Economic Development ◽  
Granger Causality ◽  
Commercial Banks ◽  
Positive Relationship ◽  
Banking Sector ◽  
Causality Analysis ◽  
Monthly Data ◽  
Granger Causality Analysis ◽  
Business And Management

The paper investigates the relationships of remittance with credit disbursement of the banking sector in Bangladesh. The major portion of the remittance in Bangladesh is transferred through different banks as official channel. Besides, remittance recipient families transfer a portion of the remittance in the deposit accounts of different commercial banks. This two-way process helps to increase the liquidity position of the bank that enables them to increase the credit disbursement position of the banks. Moreover, the use of this loan by the business entrepreneurs indirectly helps economic development of Bangladesh. This study uses time series econometric techniques with monthly data spanning from 1976 to 2012 to explore the relationships between the remittances and the credit disbursements of the banks. The findings of the study clearly show that remittances assist to enhance the amount of credit disbursements of the banking sector in Bangladesh. The normalized co-integrating coefficients are found statistically significant and show a stable and positive relationship between the variables under this study. Finally, Granger causality analysis suggests the existence of bidirectional causality between remittances and credit disbursements.Journal of Business and Management Studies Vol.1(1) 2016: 39-52

scholarly journals GRANGER CAUSALITY BETWEEN MULTIPLE INTERDEPENDENT NEUROBIOLOGICAL TIME SERIES: BLOCKWISE VERSUS PAIRWISE METHODS

2007 ◽  
Vol 17 (02) ◽  
pp. 71-78 ◽  
Author(s):  
XUE WANG ◽  
YONGHONG CHEN ◽  
STEVEN L. BRESSLER ◽  
MINGZHOU DING
Keyword(s):  
Time Series ◽  
Granger Causality ◽  
Field Potential ◽  
Region Of Interest ◽  
Multivariate Model ◽  
Alternative Methods ◽  
Neural Systems ◽  
Causality Analysis ◽  
Causal Relations ◽  
Granger Causality Analysis

Granger causality is becoming an important tool for determining causal relations between neurobiological time series. For multivariate data, there is often the need to examine causal relations between two blocks of time series, where each block could represent a brain region of interest. Two alternative methods are available. In the pairwise method, bivariate autoregressive models are fit to all pairwise combinations involving one time series from the first block and one from the second. The total Granger causality between the two blocks is then derived by summing pairwise causality values from each of these models. This approach is intuitive but computationally cumbersome. Theoretically, a more concise method can be derived, which we term the blockwise Granger causality method. In this method, a single multivariate model is fit to all the time series, and the causality between the two blocks is then computed from this model. We compare these two methods by applying them to cortical local field potential recordings from monkeys performing a sensorimotor task. The obtained results demonstrate consistency between the two methods and point to the significance potential of utilizing Granger causality analysis in understanding coupled neural systems.

Fraud and Bank Performance in Nigeria – Var Granger Causality Analysis

e-Finanse ◽  
2020 ◽  
Vol 16 (1) ◽  
pp. 20-26
Author(s):  
Taiwo A. Muritala ◽  
Muftau A. Ijaiya ◽  
Olatanwa H. Afolabi ◽  
Abdulrasheed B. Yinus
Keyword(s):  
Control Systems ◽  
Granger Causality ◽  
Internal Control ◽  
Banking Sector ◽  
Bank Performance ◽  
Causality Analysis ◽  
Vector Autoregressive ◽  
Granger Causality Analysis ◽  
Long Run ◽  
Multivariate Cointegration

AbstractThis paper examines the causality between fraud and bank performance in Nigeria over the period 2000-2016 for quarterly financial data using Johansen’s Multivariate Cointegration Model and Vector Autoregressive (VAR) Granger Causality analysis. The results show a long-run relationship between the variables. Bank performance was found to be linked to Granger fraud variables and vice versa at 10% significant level. This study reveals that there was a direct causal relationship between bank performance and fraud because increase in fraudulent activities in the banking sector leads to reduction in bank performance. Hence, this study recommends that internal control systems of banks should be strengthened so as to detect and prevent fraud. In this way, bank assets would be protected.

scholarly journals Bayesian Based Granger Causality Analysis for Positive Emotional EEGs

2021 ◽  
Vol 168 ◽  
pp. S98
Author(s):  
Xiaohui Gao ◽  
Yinuo Zhang ◽  
Ke Liu ◽  
Yin Tian ◽  
Peiyang Li
Keyword(s):  
Granger Causality ◽  
Causality Analysis ◽  
Granger Causality Analysis
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