{
"cells": [
{
"cell_type": "markdown",
"id": "ce43c153",
"metadata": {},
"source": [
"# Approximate Factor Models\n",
"\n",
"_It is better to be vaguely right than precisely wrong_ - Carveth Read\n",
"\n",
"Approximate factor models provide a simplified yet effective way to represent time series data by identifying common factors that explain variation across observed variables. A critical step in time series analysis is ensuring stationarity, typically assessed using tests like the Augmented Dickey-Fuller (ADF) test. Transformations such as differencing and logarithmic scaling are often applied to remove non-stationary components. Principal Component Analysis (PCA) is commonly used for factor extraction, and the optimal number of components can be selected using criteria like the Bayesian Information Criterion (BIC). To handle missing data, imputation methods such as the Expectation-Maximization (EM) algorithm are used.\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "788961be",
"metadata": {},
"outputs": [],
"source": [
"# By: Terence Lim, 2020-2025 (terence-lim.github.io)\n",
"import numpy as np\n",
"import pandas as pd\n",
"from pandas import DataFrame, Series\n",
"import matplotlib.pyplot as plt\n",
"from sklearn.decomposition import PCA\n",
"from sklearn.preprocessing import StandardScaler\n",
"from finds.readers import Alfred, fred_md, fred_qd\n",
"from finds.recipes import (approximate_factors, mrsq, select_baing, integration_order,\n",
" remove_outliers, is_outlier)\n",
"from secret import credentials\n",
"VERBOSE = 0\n",
"#%matplotlib qt"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "73f11756",
"metadata": {},
"outputs": [],
"source": [
"alf = Alfred(api_key=credentials['fred']['api_key'], verbose=VERBOSE)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "757356d2",
"metadata": {
"lines_to_next_cell": 2
},
"outputs": [
{
"data": {
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"text/plain": [
" Start End\n",
"0 1854-12-31 1854-12-31\n",
"1 1857-06-30 1858-12-31\n",
"2 1860-10-31 1861-06-30\n",
"3 1865-04-30 1867-12-31\n",
"4 1869-06-30 1870-12-31\n",
"5 1873-10-31 1879-03-31\n",
"6 1882-03-31 1885-05-31\n",
"7 1887-03-31 1888-04-30\n",
"8 1890-07-31 1891-05-31\n",
"9 1893-01-31 1894-06-30\n",
"10 1895-12-31 1897-06-30\n",
"11 1899-06-30 1900-12-31\n",
"12 1902-09-30 1904-08-31\n",
"13 1907-05-31 1908-06-30\n",
"14 1910-01-31 1912-01-31\n",
"15 1913-01-31 1914-12-31\n",
"16 1918-08-31 1919-03-31\n",
"17 1920-01-31 1921-07-31\n",
"18 1923-05-31 1924-07-31\n",
"19 1926-10-31 1927-11-30\n",
"20 1929-08-31 1933-03-31\n",
"21 1937-05-31 1938-06-30\n",
"22 1945-02-28 1945-10-31\n",
"23 1948-11-30 1949-10-31\n",
"24 1953-07-31 1954-05-31\n",
"25 1957-08-31 1958-04-30\n",
"26 1960-04-30 1961-02-28\n",
"27 1969-12-31 1970-11-30\n",
"28 1973-11-30 1975-03-31\n",
"29 1980-01-31 1980-07-31\n",
"30 1981-07-31 1982-11-30\n",
"31 1990-07-31 1991-03-31\n",
"32 2001-03-31 2001-11-30\n",
"33 2007-12-31 2009-06-30\n",
"34 2020-02-29 2020-04-30"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"## Retrieve recession periods from FRED\n",
"vspans = alf.date_spans('USREC')\n",
"DataFrame(vspans, columns=['Start', 'End'])"
]
},
{
"cell_type": "markdown",
"id": "31b71e03",
"metadata": {},
"source": [
"## Integration order\n",
"\n",
"### Augmented Dickey-Fuller test\n",
"\n",
"The **Augmented Dickey-Fuller (ADF) test** is one of the most widely used methods for detecting unit roots in a time series. It operates by performing an ordinary least squares (OLS) regression, where the first difference of the series is regressed on its lagged level, along with deterministic components and lagged differences. The general form of the ADF regression is: \n",
"\n",
"$$\n",
"\\Delta Y_t = \\gamma Y_{t-1} + (\\delta_0 + \\delta_1 t) + \\lambda_1 \\Delta Y_{t-1} + ... + \\lambda_p \\Delta Y_{t-p}\n",
"$$ \n",
"\n",
"If $\\gamma = 0 $, then $ Y_t $ follows a **random walk** and is non-stationary, implying the presence of a unit root. The alternative hypothesis, $ \\gamma < 0 $, suggests that $ Y_t $ is **covariance-stationary**. This is a one-sided test, as positive values of $ \\gamma $ would indicate an autoregressive coefficient greater than one, leading to instability. \n",
"\n",
"When the test fails to reject the null hypothesis of a unit root, differencing is required to transform the series into a stationary form. Best practice involves repeatedly applying the ADF test to the differenced data until stationarity is achieved. \n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "ef9cd454",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"FRED-QD vintage: quarterly/current.csv\n",
"FRED-MD vintage: monthly/current.csv\n"
]
}
],
"source": [
"qd_df, qd_codes = fred_qd() # 202004\n",
"md_df, md_codes = fred_md() # 201505\n",
"qd_date = max(qd_df.index)\n",
"md_date = max(md_df.index)"
]
},
{
"cell_type": "markdown",
"id": "65a81ca8",
"metadata": {},
"source": [
"### Transformations\n",
"\n",
"The FRED-MD and FRED-QD datasets include transformation codes that indicate appropriate preprocessing steps, such as applying logarithmic transformations or differencing, to ensure stationarity. The number of differences required depends on the presence of unit roots. "
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "690f4261",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of series by suggested tcode transformations (20250131):\n"
]
},
{
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"text/plain": [
" diff log pct_change fred-qd fred-md\n",
"tcode \n",
"1 0 0 0 22 11\n",
"2 1 0 0 32 19\n",
"3 2 0 0 0 0\n",
"4 0 1 0 0 10\n",
"5 1 1 0 140 52\n",
"6 2 1 0 49 33\n",
"7 1 0 1 1 1"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"print(f\"Number of series by suggested tcode transformations ({md_date}):\")\n",
"tcodes = DataFrame.from_dict({i: alf.tcode[i] for i in range(1, 8)},\n",
" orient='index')\\\n",
" .join(qd_codes['transform'].value_counts().rename('fred-qd'))\\\n",
" .join(md_codes['transform'].value_counts().rename('fred-md'))\\\n",
" .fillna(0)\\\n",
" .astype(int)\\\n",
" .rename_axis(index='tcode')\n",
"tcodes"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "53e3e9a5",
"metadata": {},
"outputs": [],
"source": [
"# For each series, compare fitted integration order with tcode\n",
"out = {}\n",
"stationary_out = {}\n",
"for label, df, transforms in [['md', md_df, md_codes['transform']],\n",
" ['qd', qd_df, qd_codes['transform']]]:\n",
" stationary = dict()\n",
" for series_id, tcode in transforms.items():\n",
" # apply transformation if series tcode is valid\n",
" if tcode in range(1, 8):\n",
" # take logs of series if specified by tcode\n",
" s = np.log(df[series_id]) if tcode in [4, 5, 6] else df[series_id]\n",
"\n",
" # estimate integration order\n",
" order = integration_order(s.dropna(), pvalue=0.05)\n",
"\n",
" # expected order specified by tcode\n",
" expected_order = 2 if tcode == 7 else ((tcode - 1) % 3)\n",
"\n",
" # accumulate results for this series\n",
" stationary[series_id] = {'tcode': tcode,\n",
" 'I(p)': order,\n",
" 'different': order - expected_order,\n",
" 'title': alf.header(series_id)}\n",
"# print(series_id, tcode, expected_order, order)\n",
"\n",
" # collect results for display\n",
" stationary = DataFrame.from_dict(stationary, orient='index')\n",
" stationary = stationary.sort_values(stationary.columns.to_list())\n",
" c = stationary.groupby(['tcode','I(p)'])['title'].count().reset_index()\n",
" out[label] = c.pivot(index='tcode', columns='I(p)', values='title')\\\n",
" .fillna(0).astype(int)\n",
" out[label].columns=[f\"I({p})\" for p in out[label].columns]\n",
" stationary_out[label] = stationary[stationary['different'] > 0]"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "cd7540b5",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Series by tcode, transformations and estimated order of integration:\n",
"Integration order by transformation\n"
]
},
{
"data": {
"text/html": [
"
"
],
"text/plain": [
" tcode I(p) different \\\n",
"PERMITMW 4 1 1 \n",
"HOUSTMW 4 1 1 \n",
"HOUSTNE 4 1 1 \n",
"\n",
" title \n",
"PERMITMW New Privately-Owned Housing Units Authorized i... \n",
"HOUSTMW New Privately-Owned Housing Units Started: Tot... \n",
"HOUSTNE New Privately-Owned Housing Units Started: Tot... "
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"print('FRED-MD Series with unit root after transformation')\n",
"stationary_out['md']"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "05f41084",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"FRED-QD Series with unit root after transformation\n"
]
},
{
"data": {
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GS1TB3M
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*** GS1TB3M ***
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],
"text/plain": [
" tcode I(p) different \\\n",
"GS1TB3M 1 1 1 \n",
"NWPI 1 1 1 \n",
"TLBSNNBBDI 1 1 1 \n",
"TLBSNNCBBDI 1 1 1 \n",
"HWI 1 1 1 \n",
"GFDEBTN 2 2 1 \n",
"S&P div yield 2 2 1 \n",
"CES2000000008 5 2 1 \n",
"TLBSHNO 5 2 1 \n",
"OPHMFG 5 2 1 \n",
"\n",
" title \n",
"GS1TB3M *** GS1TB3M *** \n",
"NWPI *** NWPI *** \n",
"TLBSNNBBDI *** TLBSNNBBDI *** \n",
"TLBSNNCBBDI *** TLBSNNCBBDI *** \n",
"HWI Help Wanted Index for United States \n",
"GFDEBTN Federal Debt: Total Public Debt \n",
"S&P div yield S&P's Composite Common Stock: Dividend Yield \n",
"CES2000000008 Average Hourly Earnings of Production and Nons... \n",
"TLBSHNO Households and Nonprofit Organizations; Total ... \n",
"OPHMFG Manufacturing Sector: Labor Productivity (Outp... "
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"print('FRED-QD Series with unit root after transformation')\n",
"stationary_out['qd']"
]
},
{
"cell_type": "markdown",
"id": "f7eed4bd",
"metadata": {},
"source": [
"## Factor selection\n",
"\n",
"Bai and Ng (2002) provide a systematic approach for extracting and determining the optimal number of factors in an approximate factor model of time series, and imputing missing or outlier observations in the dataset.\n",
"\n",
"### Principal component analysis (PCA)\n",
"\n",
"__Principal component analysis__ \n",
"finds a low-dimensional representation of a data set that contains as much as possible of the variation of its $p$ features. Each principal component is a linear combination of the original features, capturing the most significant patterns in the data. \n",
"\n",
"The first principal component is the normalized linear combination of features: \n",
"\n",
"$$\n",
"Z_1 = \\phi_{11} X_1 + \\phi_{21} X_2 + ... + \\phi_{p1} X_p\n",
"$$ \n",
"\n",
"which maximizes variance. Subsequent principal components, such as $ Z_2 $ and $ Z_3 $, are determined iteratively, ensuring that each is uncorrelated with the previously computed components while explaining the next highest level of variance. \n",
"\n",
"\n",
"### BIC criterion\n",
"\n",
"Determining the appropriate number of factors is a crucial step in approximate factor modeling. The **Bayesian Information Criterion (BIC)** selects the optimal number of components by balancing model fit and complexity. Lower BIC values indicate a better trade-off between variance explanation and model parsimony. \n",
"\n",
"\n",
"### Data imputation\n",
"\n",
"When dealing with missing data in time series, the **Expectation-Maximization (EM) algorithm** can be employed to estimate missing values from factors iteratively. After each imputation iteration, factors are recovered as projections from PCA, ensuring that the underlying structure of the data is captured.\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "923f1a6a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"FRED-QD vintage: assets/FRED-QD_2020m04.csv\n",
"FRED-MD vintage: assets/FRED-MD_2015m5.csv\n",
"FRED-MD monthly series:\n",
" selected variance explained start end obs series\n",
"factors 8 0.485832 19600331 20141231 658 134\n",
"Factor:1 Variance Explained=0.1613\n",
" series description\n",
"0.7424 USGOOD All Employees, Goods-Producing\n",
"0.7235 PAYEMS All Employees, Total Nonfarm\n",
"0.7002 MANEMP All Employees, Manufacturing\n",
"0.6565 NAPM *** NAPM ***\n",
"0.6540 IPMANSICS Industrial Production: Manufacturing (SIC)\n",
"0.6513 DMANEMP All Employees, Durable Goods\n",
"0.6314 INDPRO Industrial Production: Total Index\n",
"0.6037 NAPMNOI *** NAPMNOI ***\n",
"0.6026 NAPMPI *** NAPMPI ***\n",
"0.5601 CUMFNS Capacity Utilization: Manufacturing (SIC)\n",
"Factor:2 Variance Explained=0.0703\n",
" series description\n",
"0.6259 T10YFFM 10-Year Treasury Constant Maturity Minus Feder...\n",
"0.6164 AAAFFM Moody's Seasoned Aaa Corporate Bond Minus Fede...\n",
"0.5856 BAAFFM Moody's Seasoned Baa Corporate Bond Minus Fede...\n",
"0.5832 T5YFFM 5-Year Treasury Constant Maturity Minus Federa...\n",
"0.4785 TB6SMFFM 6-Month Treasury Bill Minus Federal Funds Rate\n",
"0.4779 TB3SMFFM 3-Month Treasury Bill Minus Federal Funds Rate\n",
"0.4322 T1YFFM 1-Year Treasury Constant Maturity Minus Federa...\n",
"0.2367 COMPAPFF 3-Month Commercial Paper Minus FEDFUNDS\n",
"0.2258 BUSINV Total Business Inventories\n",
"0.1896 NAPMPRI *** NAPMPRI ***\n",
"Factor:3 Variance Explained=0.0652\n",
" series description\n",
"0.7192 CUSR0000SAC Consumer Price Index for All Urban Consumers: ...\n",
"0.7066 DNDGRG3M086SBEA Personal consumption expenditures: Nondurable ...\n",
"0.6700 CPIAUCSL Consumer Price Index for All Urban Consumers: ...\n",
"0.6392 CUSR0000SA0L5 Consumer Price Index for All Urban Consumers: ...\n",
"0.6115 CUUR0000SA0L2 Consumer Price Index for All Urban Consumers: ...\n",
"0.5923 PCEPI Personal Consumption Expenditures: Chain-type ...\n",
"0.5907 CPITRNSL Consumer Price Index for All Urban Consumers: ...\n",
"0.5482 CPIULFSL Consumer Price Index for All Urban Consumers: ...\n",
"0.4863 PPIFCG Producer Price Index by Commodity for Finished...\n",
"0.4779 PPIITM Producer Price Index by Commodity Intermediate...\n",
"Factor:4 Variance Explained=0.0547\n",
" series description\n",
"0.4294 GS1 Market Yield on U.S. Treasury Securities at 1-...\n",
"0.4228 GS5 Market Yield on U.S. Treasury Securities at 5-...\n",
"0.4123 AAA Moody's Seasoned Aaa Corporate Bond Yield\n",
"0.3995 TB6MS 6-Month Treasury Bill Secondary Market Rate, D...\n",
"0.3893 GS10 Market Yield on U.S. Treasury Securities at 10...\n",
"0.3621 BAA Moody's Seasoned Baa Corporate Bond Yield\n",
"0.3179 TB3MS 3-Month Treasury Bill Secondary Market Rate, D...\n",
"0.3139 CP3M 3-Month AA Financial Commercial Paper Rates\n",
"0.2681 HOUST New Privately-Owned Housing Units Started: Tot...\n",
"0.2562 HOUSTW New Privately-Owned Housing Units Started: Tot...\n",
"Factor:5 Variance Explained=0.0425\n",
" series description\n",
"0.2481 PERMITW New Privately-Owned Housing Units Authorized i...\n",
"0.2374 PERMIT New Privately-Owned Housing Units Authorized i...\n",
"0.2316 HOUSTW New Privately-Owned Housing Units Started: Tot...\n",
"0.2225 GS5 Market Yield on U.S. Treasury Securities at 5-...\n",
"0.2221 GS1 Market Yield on U.S. Treasury Securities at 1-...\n",
"0.2146 HOUST New Privately-Owned Housing Units Started: Tot...\n",
"0.2028 GS10 Market Yield on U.S. Treasury Securities at 10...\n",
"0.1951 PERMITMW New Privately-Owned Housing Units Authorized i...\n",
"0.1949 T1YFFM 1-Year Treasury Constant Maturity Minus Federa...\n",
"0.1932 TB6MS 6-Month Treasury Bill Secondary Market Rate, D...\n",
"Factor:6 Variance Explained=0.0365\n",
" series description\n",
"0.2186 IPCONGD Industrial Production: Consumer Goods\n",
"0.1793 ISRATIO Total Business: Inventories to Sales Ratio\n",
"0.1736 NAPMEI *** NAPMEI ***\n",
"0.1628 IPDCONGD Industrial Production: Durable Consumer Goods:...\n",
"0.1577 IPFINAL Industrial Production: Final Products\n",
"0.1545 TB6SMFFM 6-Month Treasury Bill Minus Federal Funds Rate\n",
"0.1425 NAPM *** NAPM ***\n",
"0.1416 NAPMII *** NAPMII ***\n",
"0.1414 ACOGNO Manufacturers' New Orders: Consumer Goods\n",
"0.1373 IPFPNSS Industrial Production: Final Products and Noni...\n",
"Factor:7 Variance Explained=0.0292\n",
" series description\n",
"0.5165 S&P 500 S&P's Common Stock Price Index: Composite\n",
"0.5159 S&P: indust S&P's Common Stock Price Index: Industrials\n",
"0.4002 S&P div yield S&P's Composite Common Stock: Dividend Yield\n",
"0.2764 S&P PE ratio S&P's Composite Common Stock: Price-Earnings R...\n",
"0.2564 UMCSENT University of Michigan: Consumer Sentiment\n",
"0.1030 IPCONGD Industrial Production: Consumer Goods\n",
"0.1019 EXCAUS Canadian Dollars to U.S. Dollar Spot Exchange ...\n",
"0.0728 IPFINAL Industrial Production: Final Products\n",
"0.0644 IPDCONGD Industrial Production: Durable Consumer Goods:...\n",
"0.0565 IPFPNSS Industrial Production: Final Products and Noni...\n",
"Factor:8 Variance Explained=0.0262\n",
" series description\n",
"0.5375 TWEXMMTH Nominal Major Currencies U.S. Dollar Index (Go...\n",
"0.2309 EXSZUS Swiss Francs to U.S. Dollar Spot Exchange Rate\n",
"0.2111 EXUSUK U.S. Dollars to U.K. Pound Sterling Spot Excha...\n",
"0.1497 EXJPUS Japanese Yen to U.S. Dollar Spot Exchange Rate\n",
"0.1332 SRVPRD All Employees, Service-Providing\n",
"0.1199 CES0600000008 Average Hourly Earnings of Production and Nons...\n",
"0.1156 ACOGNO Manufacturers' New Orders: Consumer Goods\n",
"0.1128 CES3000000008 Average Hourly Earnings of Production and Nons...\n",
"0.1104 USGOVT All Employees, Government\n",
"0.1010 USTRADE All Employees, Retail Trade\n",
"FRED-QD quarterly series:\n",
" selected variance explained start end obs series\n",
"factors 7 0.4981 19600331 20191231 240 248\n",
"Factor:1 Variance Explained=0.2014\n",
" series description\n",
"0.8382 USPRIV All Employees, Total Private\n",
"0.8184 USGOOD All Employees, Goods-Producing\n",
"0.8165 OUTMS Manufacturing Sector: Real Sectoral Output for...\n",
"0.8124 IPMANSICS Industrial Production: Manufacturing (SIC)\n",
"0.8120 PAYEMS All Employees, Total Nonfarm\n",
"0.8057 INDPRO Industrial Production: Total Index\n",
"0.7758 MANEMP All Employees, Manufacturing\n",
"0.7717 HOANBS Nonfarm Business Sector: Hours Worked for All ...\n",
"0.7667 DMANEMP All Employees, Durable Goods\n",
"0.7651 UNRATE Unemployment Rate\n",
"Factor:2 Variance Explained=0.0824\n",
" series description\n",
"0.4995 AAAFFM Moody's Seasoned Aaa Corporate Bond Minus Fede...\n",
"0.4761 T5YFFM 5-Year Treasury Constant Maturity Minus Federa...\n",
"0.4622 PERMIT New Privately-Owned Housing Units Authorized i...\n",
"0.4404 BUSINV Total Business Inventories\n",
"0.4231 HOUST New Privately-Owned Housing Units Started: Tot...\n",
"0.4055 PERMITS New Privately-Owned Housing Units Authorized i...\n",
"0.3925 S&P div yield S&P's Composite Common Stock: Dividend Yield\n",
"0.3849 TCU Capacity Utilization: Total Index\n",
"0.3674 CPF3MTB3M 3-Month Commercial Paper Minus 3-Month Treasur...\n",
"0.3633 GS10TB3M *** GS10TB3M ***\n",
"Factor:3 Variance Explained=0.0727\n",
" series description\n",
"0.7569 CUSR0000SA0L2 Consumer Price Index for All Urban Consumers: ...\n",
"0.7405 CUSR0000SAC Consumer Price Index for All Urban Consumers: ...\n",
"0.7368 DGDSRG3Q086SBEA Personal consumption expenditures: Goods (chai...\n",
"0.7212 PCECTPI Personal Consumption Expenditures: Chain-type ...\n",
"0.7065 CPITRNSL Consumer Price Index for All Urban Consumers: ...\n",
"0.6963 DNDGRG3Q086SBEA Personal consumption expenditures: Nondurable ...\n",
"0.6798 CUSR0000SA0L5 Consumer Price Index for All Urban Consumers: ...\n",
"0.6712 CPIAUCSL Consumer Price Index for All Urban Consumers: ...\n",
"0.6472 WPSID61 Producer Price Index by Commodity: Intermediat...\n",
"0.6352 CPIULFSL Consumer Price Index for All Urban Consumers: ...\n",
"Factor:4 Variance Explained=0.0467\n",
" series description\n",
"0.4044 IMFSL Institutional Money Market Funds (DISCONTINUED)\n",
"0.3457 CES9093000001 All Employees, Local Government\n",
"0.3259 CES9092000001 All Employees, State Government\n",
"0.2484 EXUSEU U.S. Dollars to Euro Spot Exchange Rate\n",
"0.2482 USGOVT All Employees, Government\n",
"0.2364 GFDEBTN Federal Debt: Total Public Debt\n",
"0.2251 REVOLSL Revolving Consumer Credit Owned and Securitized\n",
"0.2202 USSERV All Employees, Other Services\n",
"0.2128 COMPRMS Manufacturing Sector: Real Hourly Compensation...\n",
"0.2126 NWPI *** NWPI ***\n",
"Factor:5 Variance Explained=0.0375\n",
" series description\n",
"0.3664 OPHMFG Manufacturing Sector: Labor Productivity (Outp...\n",
"0.3093 HWI Help Wanted Index for United States\n",
"0.2989 NWPI *** NWPI ***\n",
"0.2961 AWHMAN Average Weekly Hours of Production and Nonsupe...\n",
"0.2703 OPHPBS Business Sector: Labor Productivity (Output pe...\n",
"0.2358 OPHNFB Nonfarm Business Sector: Labor Productivity (O...\n",
"0.2307 UNRATELT *** UNRATELT ***\n",
"0.2189 UNLPNBS Nonfarm Business Sector: Unit Nonlabor Payment...\n",
"0.2131 ULCMFG Manufacturing Sector: Unit Labor Costs for All...\n",
"0.1989 TLBSNNCBBDI *** TLBSNNCBBDI ***\n",
"Factor:6 Variance Explained=0.0303\n",
" series description\n",
"0.2669 CONSPI Nonrevolving consumer credit to Personal Income\n",
"0.2388 ULCBS Business Sector: Unit Labor Costs for All Workers\n",
"0.2379 ULCNFB Nonfarm Business Sector: Unit Labor Costs for ...\n",
"0.2173 CONSUMER Consumer Loans, All Commercial Banks\n",
"0.2016 EXUSEU U.S. Dollars to Euro Spot Exchange Rate\n",
"0.1979 AHETPI Average Hourly Earnings of Production and Nons...\n",
"0.1865 NONREVSL Nonrevolving Consumer Credit Owned and Securit...\n",
"0.1613 TOTALSL Total Consumer Credit Owned and Securitized\n",
"0.1453 B020RE1Q156NBEA Shares of gross domestic product: Exports of g...\n",
"0.1361 UMCSENT University of Michigan: Consumer Sentiment\n",
"Factor:7 Variance Explained=0.0270\n",
" series description\n",
"0.2663 USEPUINDXM Economic Policy Uncertainty Index for United S...\n",
"0.1954 TNWBSHNO Households and Nonprofit Organizations; Net Wo...\n",
"0.1889 TABSHNO Households and Nonprofit Organizations; Total ...\n",
"0.1872 S&P 500 S&P's Common Stock Price Index: Composite\n",
"0.1856 S&P: indust S&P's Common Stock Price Index: Industrials\n",
"0.1808 TFAABSHNO Households and Nonprofit Organizations; Total ...\n",
"0.1756 NASDAQCOM NASDAQ Composite Index\n",
"0.1623 GS10TB3M *** GS10TB3M ***\n",
"0.1394 OPHPBS Business Sector: Labor Productivity (Output pe...\n"
]
}
],
"source": [
"# Verify BaiNg implemention on original FRED-MD and FRED-QD\n",
"qd_df, qd_codes = fred_qd('assets/FRED-QD_2020m04.csv', url='')\n",
"md_df, md_codes = fred_md('assets/FRED-MD_2015m5.csv', url='')\n",
"for freq, df, transforms in [['monthly', md_df, md_codes['transform']],\n",
" ['quarterly', qd_df, qd_codes['transform']]]: \n",
" # Apply tcode transformations\n",
" transformed = []\n",
" for col in df.columns:\n",
" transformed.append(alf.transform(df[col],\n",
" tcode=transforms[col],\n",
" freq=freq[0]))\n",
" data = pd.concat(transformed, axis=1).iloc[2:]\n",
" cols = list(data.columns)\n",
" sample = data.index[((np.count_nonzero(np.isnan(data), axis=1)==0)\n",
" | (data.index <= 20141231))\n",
" & (data.index >= 19600301)]\n",
"\n",
" # set missing and outliers to NaN\n",
" x = data.loc[sample]\n",
" x = remove_outliers(x) # default fence 'iq10' is 10 times IQ \n",
"\n",
" # compute factors EM and auto select number of components, r\n",
" Z = approximate_factors(x, p=2, verbose=VERBOSE)\n",
" r = select_baing(Z, p=2)\n",
"\n",
" # show marginal R2's of series to each component\n",
" mR2 = mrsq(Z, r).to_numpy()\n",
" print(f\"FRED-{freq[0].upper()}D {freq} series:\")\n",
" print(DataFrame({'selected': r,\n",
" 'variance explained': np.sum(np.mean(mR2[:, :r], axis=0)),\n",
" 'start': min(sample),\n",
" 'end': max(sample),\n",
" 'obs': Z.shape[0],\n",
" 'series': Z.shape[1]},\n",
" index=[f'factors']))\n",
"\n",
" for k in range(r):\n",
" args = np.argsort(-mR2[:, k])\n",
" print(f\"Factor:{1+k} Variance Explained={np.mean(mR2[:,k]):.4f}\")\n",
" print(DataFrame.from_dict({mR2[arg, k].round(4):\n",
" {'series': cols[arg],\n",
" 'description': alf.header(cols[arg])}\n",
" for arg in args[:10]},\n",
" orient='index'))"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "0f2a18ff",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"FRED-MD vintage: monthly/current.csv\n"
]
}
],
"source": [
"# Compute approximate factors from current FRED-MD\n",
"data, t = fred_md() # fetch dataframe of current fred-md and transform codes\n",
"data.index = pd.to_datetime(data.index, format='%Y%m%d')\n",
"transforms = t['transform']\n",
"data = pd.concat([alf.transform(data[col], tcode=transforms[col], freq='m')\n",
" for col in data.columns], axis=1)\n",
"\n",
"# remove outliers and impute using Bai-Ng approach\n",
"r = 8 # fix number of factors = 8\n",
"X = remove_outliers(data, method='farout')\n",
"X = approximate_factors(X, kmax=r, p=0, verbose=VERBOSE)"
]
},
{
"cell_type": "markdown",
"id": "7bb28846",
"metadata": {},
"source": [
"Recover factors as the projections from PCA"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "92b5b08d",
"metadata": {},
"outputs": [],
"source": [
"# Extract factors from PCA projections on imputed data\n",
"y = StandardScaler().fit_transform(X)\n",
"pca = PCA(n_components=r).fit(y)\n",
"factors = DataFrame(pca.transform(y), index=data.index, columns=range(1, 1+r))"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "511c2a86",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Plot extracted factors\n",
"fig, axes = plt.subplots(nrows=4, ncols=2, figsize=(10, 12), sharex=True, sharey=True)\n",
"axes = axes.flatten()\n",
"for col, ax in zip(factors.columns, axes):\n",
" flip = -np.sign(max(factors[col]) + min(factors[col])) # try match sign\n",
" (flip*factors[col]).plot(ax=ax, color=f\"C{col}\")\n",
" for a,b in vspans:\n",
" if b >= min(factors.index):\n",
" ax.axvspan(max(a, min(factors.index)),\n",
" min(b, max(factors.index)),\n",
" alpha=0.4,\n",
" color='grey')\n",
" ax.spines[\"top\"].set_visible(False)\n",
" ax.spines[\"right\"].set_visible(False)\n",
" ax.legend([f\"Factor {col} Estimate\", 'NBER Recession'])\n",
"plt.tight_layout(rect=[0, 0.03, 1, 0.95])\n",
"plt.suptitle(f\"Factor Estimates {factors.index[0]:%b-%Y}:\"\n",
" f\"{factors.index[-1]:%b-%Y}\", fontsize='x-large')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "7133808e",
"metadata": {},
"source": [
"**References:**\n",
"\n",
"Bai, Jushan and Ng, Serena, 2002, Determining the Number of Factors in Approximate Factor Models, Econometrica 70:1, 191-2211\n",
"\n",
"McCracken, Michael W., and Serena Ng, 2016. FRED-MD: A monthly database for macroeconomic research, Journal of Business & Economic Statistics, 34(4), 574-589.\n",
"\n",
"Michael W. McCracken, Serena Ng, 2020, FRED-QD: A Quarterly Database for Macroeconomic Research.\n"
]
}
],
"metadata": {
"jupytext": {
"cell_metadata_filter": "-all",
"main_language": "python",
"notebook_metadata_filter": "-all"
},
"kernelspec": {
"display_name": "env3.11",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.11"
}
},
"nbformat": 4,
"nbformat_minor": 5
}