How Long to Read Understanding and Predicting Systemic Corporate Distress: A Machine-Learning Approach

How Long Does it Take to Read Understanding and Predicting Systemic Corporate Distress: A Machine-Learning Approach?

It takes the average reader and 49 minutes to read Understanding and Predicting Systemic Corporate Distress: A Machine-Learning Approach by Ms. Burcu Hacibedel

Assuming a reading speed of 250 words per minute. Learn more

Description

In this paper, we study systemic non-financial corporate sector distress using firm-level probabilities of default (PD), covering 55 economies, and spanning the last three decades. Systemic corporate distress is identified by elevated PDs across a large portion of the firms in an economy. A machine-learning based early warning system is constructed to predict the onset of distress in one year’s time. Our results show that credit expansion, monetary policy tightening, overvalued stock prices, and debt-linked balance-sheet weaknesses predict corporate distress. We also find that systemic corporate distress events are associated with contractions in GDP and credit growth in advanced and emerging markets at different degrees and milder than financial crises.

How long is Understanding and Predicting Systemic Corporate Distress: A Machine-Learning Approach?

Understanding and Predicting Systemic Corporate Distress: A Machine-Learning Approach by Ms. Burcu Hacibedel is 48 pages long, and a total of 12,384 words.

This makes it 16% the length of the average book. It also has 15% more words than the average book.

How Long Does it Take to Read Understanding and Predicting Systemic Corporate Distress: A Machine-Learning Approach Aloud?

The average oral reading speed is 183 words per minute. This means it takes 1 hour and 7 minutes to read Understanding and Predicting Systemic Corporate Distress: A Machine-Learning Approach aloud.

What Reading Level is Understanding and Predicting Systemic Corporate Distress: A Machine-Learning Approach?

Understanding and Predicting Systemic Corporate Distress: A Machine-Learning Approach is suitable for students ages 8 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Understanding and Predicting Systemic Corporate Distress: A Machine-Learning Approach?

Understanding and Predicting Systemic Corporate Distress: A Machine-Learning Approach by Ms. Burcu Hacibedel is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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