title: ÐÐ¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²ÑÑ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»ÐµÐ¹ Ð² 1Ð¡
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Modeling of financial indicators in 1C
Creators: name: Ð¤Ð°ÑÑÐ°Ð´Ð¾Ð²Ð°, ÐÐ°ÑÐ¸Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²Ð¾Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²ÑÐµ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»Ð¸
Ð°Ð²ÑÐ¾Ð¼Ð°ÑÐ¸Ð·Ð°ÑÐ¸Ñ ÑÐ°ÑÑÐµÑÐ¾Ð²
Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐµÐ½
financial modeling
financial indicators
automation of calculations
price forecasting

description: Ð¦ÐµÐ»ÑÑ Ð´Ð°Ð½Ð½Ð¾Ð¹ ÑÐ°Ð±Ð¾ÑÑ ÑÐ²Ð»ÑÐµÑÑÑ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ° ÑÐ½Ð¸Ð²ÐµÑÑÐ°Ð»ÑÐ½Ð¾Ð¹ ÑÐ¾Ð²ÑÐµÐ¼ÐµÐ½Ð½Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸ Ð°Ð½Ð°Ð»Ð¸Ð·Ð° ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²ÑÑ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»ÐµÐ¹ Ð² 1Ð¡, Ð´Ð¾Ð¿ÑÑÐºÐ°ÑÑÐµÐ¹ Ð¼Ð½Ð¾Ð³Ð¾Ð²Ð°ÑÐ¸Ð°Ð½ÑÐ½ÑÐµ ÑÐµÑÐµÐ½Ð¸Ñ ÑÐµÐºÑÑÐµÐ³Ð¾ Ð¸ Ð¿ÐµÑÑÐ¿ÐµÐºÑÐ¸Ð²Ð½Ð¾Ð³Ð¾ ÑÐ°ÑÐ°ÐºÑÐµÑÐ° Ñ Ð¼Ð¾Ð½Ð¸ÑÐ¾ÑÐ¸Ð½Ð³Ð¾Ð¼ Ð² ÑÐµÐ¶Ð¸Ð¼Ðµ ÑÐµÐ°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð²ÑÐµÐ¼ÐµÐ½Ð¸.Â  ÐÐ±ÑÐµÐºÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ â IT-Ð¿ÑÐ¾ÐµÐºÑ Ð² 1Ð¡. ÐÑÐµÐ´Ð¼ÐµÑ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ â Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²ÑÑ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»ÐµÐ¹. ÐÐ°Ð´Ð°ÑÐ¸, ÐºÐ¾ÑÐ¾ÑÑÐµ Ð½ÐµÐ¾Ð±ÑÐ¾Ð´Ð¸Ð¼Ð¾ Ð±ÑÐ»Ð¾ ÑÐµÑÐ¸ÑÑ Ð² ÑÐ¾Ð´Ðµ ÑÐ°Ð±Ð¾ÑÑ: a) Ð°Ð½Ð°Ð»Ð¸Ð· Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¸ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð¾Ð² ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²Ð¾Ð³Ð¾ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ; b) Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¸Ð½ÑÑÑÑÐ¼ÐµÐ½ÑÐ°ÑÐ¸Ñ ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²Ð¾Ð³Ð¾ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ; c) ÑÐ°ÑÐ°ÐºÑÐµÑÐ¸ÑÑÐ¸ÐºÐ° Ð¿ÑÐ¾ÐµÐºÑÐ° Â«ÐÑÐ¾ÐºÑÐ¸-Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²Ð¾Ð³Ð¾ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ°Â», Ð¾Ð¿Ð¸ÑÐ°Ð½Ð¸Ðµ ÑÐ°Ð±Ð¾ÑÑ ÑÐ¸ÑÑÐµÐ¼Ñ, Ð²Ð¸Ð·ÑÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð²ÑÑÐ¾Ð´Ð½ÑÑ ÑÐ¾ÑÐ¼-ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ¾Ð² Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ; d) Ð°Ð½Ð°Ð»Ð¸Ð· Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐµÐ½; e) Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²Ð¾Ð³Ð¾ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ° Ð¼ÐµÑÐ¾Ð´Ð°Ð¼Ð¸ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ, ARIMA Ð¸ Ð¥Ð¾Ð»ÑÑÐ°-ÐÐ¸Ð½ÑÐµÑÑÐ°; f) Ð¾ÑÐµÐ½ÐºÐ° ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¾Ð¹ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð¿ÑÐ¾ÐµÐºÑÐ°; Ð ÑÐ¾Ð´Ðµ Ð¸ÑÑÐ»ÐµÐ´Ð¾Ð²Ð°Ð½Ð¸Ñ Ð±ÑÐ»Ð¸ Ð´Ð°Ð½Ñ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¸ Ðº Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐµÐ½ Ð½Ð° ÑÐ¾Ð¿Ð»Ð¸Ð²Ð¾ Ð¸ Ð±ÑÐ»Ð¾ Ð²ÑÑÐ²Ð»ÐµÐ½Ð¾, ÑÑÐ¾ Ð¼ÐµÑÐ¾Ð´Ñ Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ð³Ð¾ Ð¾Ð±ÑÑÐµÐ½Ð¸Ñ, Ð¿Ð¾Ð´ÑÐ¾Ð´ÑÑ Ð´Ð»Ñ Ð±Ð¾Ð»ÐµÐµ ÑÐ¾ÑÐ½Ð¾Ð³Ð¾ Ð¸ Ð³Ð»ÑÐ±Ð¾ÐºÐ¾Ð³Ð¾ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²ÑÑ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»ÐµÐ¹, ÑÑÐ¾ Ð·Ð½Ð°ÑÐ¸ÑÐµÐ»ÑÐ½Ð¾ ÑÐ»ÑÑÑÐ°ÐµÑ ÐºÐ°ÑÐµÑÑÐ²Ð¾ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ Ð¸ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½ÑÐµÑÐºÐ¾Ð³Ð¾ ÑÐµÑÐµÐ½Ð¸Ñ. ÐÐ¾Ð»ÑÑÐµÐ½Ð½ÑÐµ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð¸ Ð¼ÐµÑÐ¾Ð´Ð¸ÐºÐ° Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²ÑÑ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»ÐµÐ¹ Ð¼Ð¾Ð³ÑÑ Ð±ÑÑÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ñ Ð² Ð¿ÑÐ¾ÐµÐºÑÐµ Ð´Ð»Ñ Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ ÑÐ¾ÑÐ½Ð¾ÑÑÐ¸ Ð¿ÑÐ¾Ð³Ð½Ð¾Ð·Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ, ÐºÐ°Ðº ÑÐµÐ½ Ð½Ð° ÑÐ¾Ð¿Ð»Ð¸Ð²Ð¾, ÑÐ°Ðº Ð¸ ÑÐ°Ð¼Ð¸Ñ ÑÐ¸Ð½Ð°Ð½ÑÐ¾Ð²ÑÑ Ð¿Ð¾ÐºÐ°Ð·Ð°ÑÐµÐ»ÐµÐ¹, ÑÑÐ¾ ÑÐµÐ¹ÑÐ°Ñ ÑÐ²Ð»ÑÐµÑÑÑ Ð¾Ð´Ð½Ð¾Ð¹ Ð¸Ð· Ð¿ÑÐ¸Ð¾ÑÐ¸ÑÐµÑÐ½ÑÑ Ð·Ð°Ð´Ð°Ñ Ð±Ð¸Ð·Ð½ÐµÑÐ°.
description: The purpose of this work is to develop a universal modern model for analyzing financial indicators in 1C, allowing for multivariate solutions of current and prospective nature with real-time monitoring. The object of the study is an IT project in 1C. The subject of the study is the modeling of financial indicators. Tasks that needed to be solved during the work: a) analysis of methods and approaches of financial modeling; b) research of financial modeling tools; c) characteristics of the project "Proxy modeling of financial results", description of the system operation, visualization of output forms of modeling results; d) analysis of price forecasting methods; e) modeling of financial results using machine learning, ARIMA and Holt-Winters methods; f) evaluation of the economic efficiency of the project; During the study, recommendations were made for forecasting fuel prices and it was revealed that machine learning methods are suitable for more accurate and in-depth modeling of financial indicators, which significantly improves the quality of forecasting and management decisions. The results obtained and the methodology for modeling financial indicators can be used in the project to improve the accuracy of forecasting both fuel prices and financial indicators themselves, which is now one of the priorities of the business.