دانلود مقاله تورم و ریسک اصولی
ترجمه نشده

دانلود مقاله تورم و ریسک اصولی

عنوان فارسی مقاله: تورم و ریسک اصولی: یک مدل شبکه ای اقتصاد سنجی
عنوان انگلیسی مقاله: Inflation and systemic risk: A network econometric model
مجله/کنفرانس: اسناد تحقیقات مالی - Finance Research Letters
رشته های تحصیلی مرتبط: اقتصاد
گرایش های تحصیلی مرتبط: توسعه اقتصادی و برنامه ریزی - برنامه ریزی سیستم های اقتصادی - اقتصاد پولی - اقتصاد مالی
کلمات کلیدی فارسی: تورم، ریسک اصولی، روابط مالی کلان، ارتباط، شبکه های مالی
کلمات کلیدی انگلیسی: Inflation; Systemic Risk; Macro-Financial Links; Connectedness; Financial Networks likelihood
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نمایه: Scopus - Master Journals List - JCR
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.frl.2023.104104
لینک سایت مرجع: https://www.sciencedirect.com/science/article/pii/S1544612323004762
نویسندگان: Javier Sánchez García - Salvador Cruz Rambaud
دانشگاه: University of Almeria, Spain
صفحات مقاله انگلیسی: 17
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2023
ایمپکت فاکتور: 11.032 در سال 2022
شاخص H_index: 81 در سال 2023
شاخص SJR: 2.231 در سال 2022
شناسه ISSN: 1544-6131
شاخص Quartile (چارک): Q1 در سال 2022
فرمت مقاله انگلیسی: PDF
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: بله
آیا این مقاله مدل مفهومی دارد: دارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: دارد
آیا این مقاله فرضیه دارد: ندارد
کد محصول: e17490
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
نوع رفرنس دهی: vancouver
فهرست مطالب (ترجمه)

خلاصه
1. معرفی
2. مدل
3. شواهد تجربی
4. نتیجه گیری
منابع

فهرست مطالب (انگلیسی)

Abstract
1. Introduction
2. The model
3. Empirical evidence
4. Conclusions
References

بخشی از مقاله (ترجمه ماشینی)

چکیده
این مقاله یک مدل شبکه اقتصاد سنجی ایجاد می کند که قادر به تجزیه و تحلیل تأثیر تورم بر ریسک سیستمی است. سهم اصلی آن شناسایی یک رابطه معکوس قوی است که هنگام کنترل سیاست پولی معکوس می شود. این نشان می دهد که اثر قبلی ناشی از واکنش سیاست پولی به تورم است. بیشتر مورد تجزیه و تحلیل قرار می گیرد که آیا این تأثیر از بدهکاری بیش از حد در زمان مینسکی ناشی می شود یا خیر. هیچ شواهدی وجود ندارد که آن را تأیید کند که نشان دهد مکانیسم‌هایی غیر از اعتبار اضافی، زیربنای چنین رابطه‌ای است. نتایج ارائه شده در این مقاله برای درک واکنش های سیاست پولی به چرخه های تورمی جاری اهمیت ویژه ای دارد.

بخشی از مقاله (انگلیسی)

Abstract

This paper builds a network econometric model capable of analysing the impact of inflation on systemic risk. Its main contribution is the identification of a robust inverse relationship which reverses when controlling monetary policy. This reveals that the former effect is due to monetary policy reactions to inflation. It is further analysed whether this effect comes from overindebtness as in a Minsky moment. There is no evidence supporting it, which suggests that mechanisms other than excess credit underlie such a relationship. The results presented in this paper are of particular importance for understanding monetary policy reactions to current inflationary cycles.

 

Introduction

Analogously to many other macro-financial linkages, the effects of inflation on systemic risk are, to a large extent, still unknown. This is the result of a disconnection between the interplay of the economy and financial markets which has dominated macroeconomic research in recent decades. However, the financial crisis of 2007–2009 made clear that there is a constant interaction between the economic system and financial markets (Diebold and Yılmaz, 2015, Abbas et al., 2019, Balcilar and Bekun, 2020, Cotter et al., 2020, Silva et al., 2017, Festić et al., 2011, Aliyu, 2012), highlighting the need to consider additional contagion channels rather than the traditional interbank market (Silva et al., 2018). Thus, many of the macro-financial variables depend the other dimension, potentially in a non-linear way, as it has been theoretically argued (Bernanke et al., 1999, Gertler and Kiyotaki, 2010, Mendoza, 2010, Brunnermeier and Sannikov, 2014) and empirically estimated (Giglio et al., 2016).

 

In particular, the effects of inflation on systemic risk are of special importance nowadays. After more than 20 years of relatively low inflation (see red line Fig. 1, quantified on the right axis), the study of the inflation-financial stability binomial have not been of upmost importance. Thus, some studies have analysed the impact of inflation on the performance of the financial sector (Boyd et al., 2001), financial development (Festić et al., 2011), and many have analysed the relationship between inflation and public debt (Bhattarai et al., 2014, Krause and Moyen, 2016, Cherif and Hasanov, 2018). However, the recent inflationary shock has caused “seismic waves” for the stability of the financial system, as contractive monetary policy stances have revealed, among other concerns, overexposures to interest rate risks by financial institutions. Therefore, discounting monetary policy, there may exist a relationship between inflation and systemic risk which could make controlling inflation a major concern not only for the correct functioning of the economy, but also for ensuring the stability of the financial system. As shown in Fig. 1, this correlation between inflation and systemic risk connectedness may exist a priori.

 

Conclusions

This paper has provided some inferences about the effects of inflation on systemic risk in a financial network of twelve countries. It has been found that, after controlling the monetary policy reactions to inflation, inflation increases systemic risk. Furthermore, in the time span considered (2000–2022), inflation increases more systemic risk than interest rates. This provides partial equilibrium evidence in favour of aggressive monetary policy interventions to preserve financial stability and not only to ensure the correct functioning of the economy during inflationary shocks. Indeed, if inflation increases more systemic risk than interest rates, there exists an incentive for the central bank to increase interest rates in presence of rising inflation, since the effect of the latter outweights the negative effect of the bank rate hike for financial stability.

 

It has been further tested whether the channel through which inflation increases systemic risk is excessive lending during economic booms as in a Minsky moment. However, evidence has not been found which reveals that mechanisms other than excess credit are behind the relationship. All the results presented in this paper are robust to several variable selections and econometric specifications, and extend to inflation expectations as well. Further research can be directed towards increasing the understanding of the relationship between inflation and systemic risk with monetary policy, since a substantial part of it appears to be happening through interest rates.

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