بهتر کردن کیفیت گرامری و جملات متن مقاله زبان انگلیسی حدود 2500 کلمه

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سلام من یک پیش نویس انگلیسی حدود کمتر از 2500 کلمه دارم که میخوام ترجیحا یکی از مجریان محترم با حوصله که فارغ التحصیل زبان انگلیسی باشن این پیش نویس را تصحیح کنند بعضی جاها خوب نوشته شده بعضی جاهاش شاید خوب نباشه. میخوام هر نوع بهینه سازی کیفیت زبان انگلیسی که ممکن هست انجام بشه نمونه ای از متن بشرح زیر هست.

So far, various models and techniques have been proposed for volatility modeling, autoregressive conditional heteroscedasticity (ARCH) Which were originally introduced by Engle (1982) and later developed by Bollerslev (1986) that are now known as the most important model for high frequency financial time series data (Engle, et al, 2019 & Bollerslev et al, 2019). Several studies have been accomplished by using these models in the context of exchange rate fluctuations and its prediction. For example, with using GARCH models’ reception from ARCH models, exponential moving weighted average & historical average models have had a better performance in forecasting volatility of the US monthly stock index (Adhikary, & Bora, 2020). Pagan & Schwert (1990) have compared the ability of GARCH, EGARCH model, Markov state transition and three non-parametric models in predicting monthly volatility of the US stock returns (Jawad, & Naz, 2020). The results show that conditional models performed better. Bhowmik, and Wang, (2020) found that the GJR and GARCH models performed better than other models in predicting Australia's monthly volatility index. Do and et al (2020) studied the nature of unconditional heterogeneous variance and the distribution of stock returns in the Taiwan stock market. The results show that the GARCH model with normal hybrid distribution (1, 1) is a suitable model 

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