Module 10 · Financial Time-Series Foundations Lesson 93 of 120
Lags, Leads, and Temporal Dependence
Keeping past features separate from future labels.
Transcript
17 sentences · select one to jump thereCheck your understanding
What does a one-row lag mean on an irregular event series?
Code lab
Run it yourself
The lesson source in 7 languages. Edit it, run TypeScript and Python right here, and compare with the expected output.
/**
* Fintech Math Bootcamp · Lesson 093 of 120
* Lags, Leads, and Temporal Dependence
* Module 10: Financial Time-Series Foundations
*
* Scenario: Keeping past features separate from future labels
* Rule: lag₁ at t = xₜ₋₁; lead₁ at t = xₜ₊₁
*
* Try it: What does a one-row lag mean on an irregular event series?
*
* Lesson article: https://thefintechbuilder.com/financial-mathematics-statistics-and-data-foundations/financial-time-series-foundations/lags-leads-and-temporal-dependence/
* Free course: https://courses.thefintechbuilder.com
* Synthetic teaching example, not financial advice or a production library.
*/
export function lesson093() {
const values=[10,12,11,15];
const lag=values.map((_,i)=>i===0?null:values[i-1]);
const lead=values.map((_,i)=>i===values.length-1?null:values[i+1]);
const result={lag,lead};
return result;
}
export const checkedResult = {"lag":[null,10,12,11],"lead":[12,11,15,null]};
// Run this file directly: npx tsx lessons/10-financial-time-series-foundations/093-lags-leads-and-temporal-dependence.ts
if (process.argv[1] && import.meta.url.endsWith(process.argv[1].replace(/\\/g, "/").split("/").pop()!)) {
console.log(JSON.stringify(lesson093(), null, 2));
}
Your output
Press Run to execute the code in your browser.
Expected output
{
"lag": [
null,
10,
12,
11
],
"lead": [
12,
11,
15,
null
]
}# Fintech Math Bootcamp · Lesson 093 of 120
# Lags, Leads, and Temporal Dependence
# Module 10: Financial Time-Series Foundations
#
# Scenario: Keeping past features separate from future labels
# Rule: lag₁ at t = xₜ₋₁; lead₁ at t = xₜ₊₁
#
# Try it: What does a one-row lag mean on an irregular event series?
#
# Lesson article: https://thefintechbuilder.com/financial-mathematics-statistics-and-data-foundations/financial-time-series-foundations/lags-leads-and-temporal-dependence/
# Free course: https://courses.thefintechbuilder.com
# Synthetic teaching example, not financial advice or a production library.
#
# Run: python main.py
import json
def lesson_093():
values = [10, 12, 11, 15]
lag = [None if i == 0 else values[i - 1] for i in range(len(values))]
lead = [None if i == len(values) - 1 else values[i + 1] for i in range(len(values))]
return {"lag": lag, "lead": lead}
if __name__ == "__main__":
print(json.dumps(lesson_093(), indent=2))
Your output
Press Run to execute the code in your browser.
Expected output
{
"lag": [
null,
10,
12,
11
],
"lead": [
12,
11,
15,
null
]
}/*
* Fintech Math Bootcamp - Lesson 093 of 120
* Lags, Leads, and Temporal Dependence
* Module 10: Financial Time-Series Foundations
*
* Scenario: Keeping past features separate from future labels
* Rule: lag_1 at t = x_t-1; lead_1 at t = x_t+1
*
* Try it: What does a one-row lag mean on an irregular event series?
*
* Lesson article: https://thefintechbuilder.com/financial-mathematics-statistics-and-data-foundations/financial-time-series-foundations/lags-leads-and-temporal-dependence/
* Free course: https://courses.thefintechbuilder.com
* Synthetic teaching example, not financial advice or a production library.
*
* Run: javac Main.java && java Main
*/
import java.util.*;
public class Main {
static Map<String, Object> lesson093() {
int[] values = {10, 12, 11, 15};
List<Integer> lag = new ArrayList<Integer>();
List<Integer> lead = new ArrayList<Integer>();
for (int i = 0; i < values.length; i++) {
lag.add(i == 0 ? null : Integer.valueOf(values[i - 1]));
lead.add(i == values.length - 1 ? null : Integer.valueOf(values[i + 1]));
}
return obj("lag", lag, "lead", lead);
}
public static void main(String[] args) {
System.out.println(toJson(lesson093(), ""));
}
// Minimal JSON writer: insertion-ordered Map, List, Number, Boolean, String and null.
static String toJson(Object value, String indent) {
if (value == null) return "null";
if (value instanceof String) return quote((String) value);
if (value instanceof Boolean) return value.toString();
if (value instanceof Double) return formatNumber((Double) value);
if (value instanceof Number) return value.toString();
String inner = indent + " ";
StringBuilder sb = new StringBuilder();
if (value instanceof Map) {
Map<?, ?> map = (Map<?, ?>) value;
if (map.isEmpty()) return "{}";
sb.append("{\n");
int i = 0;
for (Map.Entry<?, ?> e : map.entrySet()) {
sb.append(inner).append(quote(e.getKey().toString())).append(": ").append(toJson(e.getValue(), inner));
sb.append(++i < map.size() ? ",\n" : "\n");
}
return sb.append(indent).append("}").toString();
}
List<?> list = (List<?>) value;
if (list.isEmpty()) return "[]";
sb.append("[\n");
for (int i = 0; i < list.size(); i++) {
sb.append(inner).append(toJson(list.get(i), inner)).append(i + 1 < list.size() ? ",\n" : "\n");
}
return sb.append(indent).append("]").toString();
}
// Integral doubles print without ".0", as JavaScript does; others use Java's round-trip form.
static String formatNumber(double x) {
if (x == Math.rint(x) && Math.abs(x) < 1e15) return Long.toString((long) x);
return Double.toString(x);
}
static String quote(String s) {
StringBuilder sb = new StringBuilder("\"");
for (char c : s.toCharArray()) {
if (c == '"' || c == '\\') sb.append('\\').append(c);
else if (c < 0x20) sb.append(String.format("\\u%04x", (int) c));
else sb.append(c);
}
return sb.append('"').toString();
}
// Builds an insertion-ordered object from alternating keys and values.
static Map<String, Object> obj(Object... keysAndValues) {
Map<String, Object> map = new LinkedHashMap<String, Object>();
for (int i = 0; i < keysAndValues.length; i += 2) map.put((String) keysAndValues[i], keysAndValues[i + 1]);
return map;
}
static List<Object> list(double... values) {
List<Object> out = new ArrayList<Object>();
for (double v : values) out.add(v);
return out;
}
}
No browser runner for Java yet
Read the code here, then run it in your own toolchain or a ready-made cloud workspace.
Expected output
{
"lag": [
null,
10,
12,
11
],
"lead": [
12,
11,
15,
null
]
}// Fintech Math Bootcamp · Lesson 093 of 120
// Lags, Leads, and Temporal Dependence
// Module 10: Financial Time-Series Foundations
//
// Scenario: Keeping past features separate from future labels
// Rule: lag₁ at t = xₜ₋₁; lead₁ at t = xₜ₊₁
//
// Try it: What does a one-row lag mean on an irregular event series?
//
// Lesson article: https://thefintechbuilder.com/financial-mathematics-statistics-and-data-foundations/financial-time-series-foundations/lags-leads-and-temporal-dependence/
// Free course: https://courses.thefintechbuilder.com
// Synthetic teaching example, not financial advice or a production library.
//
// Run: go run main.go
package main
import (
"encoding/json"
"fmt"
)
type Result struct {
Lag []any `json:"lag"`
Lead []any `json:"lead"`
}
func lesson093() Result {
values := []int{10, 12, 11, 15}
lag := make([]any, len(values)) // nil marks "no earlier row"
lead := make([]any, len(values)) // nil marks "no later row"
for i := range values {
if i > 0 {
lag[i] = values[i-1]
}
if i < len(values)-1 {
lead[i] = values[i+1]
}
}
return Result{Lag: lag, Lead: lead}
}
func main() {
out, err := json.MarshalIndent(lesson093(), "", " ")
if err != nil {
panic(err)
}
fmt.Println(string(out))
}
No browser runner for Go yet
Read the code here, then run it in your own toolchain or a ready-made cloud workspace.
Expected output
{
"lag": [
null,
10,
12,
11
],
"lead": [
12,
11,
15,
null
]
}// Fintech Math Bootcamp · Lesson 093 of 120
// Lags, Leads, and Temporal Dependence
// Module 10: Financial Time-Series Foundations
//
// Scenario: Keeping past features separate from future labels
// Rule: lag₁ at t = xₜ₋₁; lead₁ at t = xₜ₊₁
//
// Try it: What does a one-row lag mean on an irregular event series?
//
// Lesson article: https://thefintechbuilder.com/financial-mathematics-statistics-and-data-foundations/financial-time-series-foundations/lags-leads-and-temporal-dependence/
// Free course: https://courses.thefintechbuilder.com
// Synthetic teaching example, not financial advice or a production library.
//
// Run: g++ -std=c++17 -O1 -o lesson main.cpp && ./lesson
#include <algorithm>
#include <charconv>
#include <cmath>
#include <cstdint>
#include <cstdio>
#include <deque>
#include <iostream>
#include <limits>
#include <map>
#include <optional>
#include <stdexcept>
#include <string>
#include <utility>
#include <variant>
#include <vector>
// Minimal JSON value: objects keep insertion order; numbers print in shortest round-trip form.
struct Json {
enum class Kind { Null, Bool, Number, String, Array, Object };
Kind kind = Kind::Null;
bool flag = false;
double number = 0.0;
std::string text;
std::vector<std::string> keys; // object keys, parallel to items
std::vector<Json> items; // array items, or object values
};
Json jnull() { return Json{}; }
Json jbool(bool value) { Json j; j.kind = Json::Kind::Bool; j.flag = value; return j; }
Json jnum(double value) { Json j; j.kind = Json::Kind::Number; j.number = value; return j; }
Json jstr(const std::string& value) { Json j; j.kind = Json::Kind::String; j.text = value; return j; }
Json jarr(std::vector<Json> items) { Json j; j.kind = Json::Kind::Array; j.items = std::move(items); return j; }
Json jobj(std::vector<std::pair<std::string, Json>> fields) {
Json j;
j.kind = Json::Kind::Object;
for (auto& field : fields) {
j.keys.push_back(field.first);
j.items.push_back(std::move(field.second));
}
return j;
}
Json jnums(const std::vector<double>& values) {
std::vector<Json> items;
for (double v : values) items.push_back(jnum(v));
return jarr(std::move(items));
}
Json jnums(const std::vector<std::optional<double>>& values) {
std::vector<Json> items;
for (const auto& v : values) items.push_back(v ? jnum(*v) : jnull());
return jarr(std::move(items));
}
std::string formatNumber(double value) {
char buffer[64];
auto result = std::to_chars(buffer, buffer + sizeof buffer, value); // shortest round-trip form
return std::string(buffer, result.ptr);
}
std::string quote(const std::string& text) {
std::string out = "\"";
for (char c : text) {
if (c == '"' || c == '\\') {
out += '\\';
out += c;
} else if (static_cast<unsigned char>(c) < 0x20) {
char buffer[8];
std::snprintf(buffer, sizeof buffer, "\\u%04x", static_cast<unsigned>(c));
out += buffer;
} else {
out += c;
}
}
return out + "\"";
}
void writeJson(std::ostream& out, const Json& value, const std::string& indent = "") {
const std::string inner = indent + " ";
switch (value.kind) {
case Json::Kind::Null: out << "null"; return;
case Json::Kind::Bool: out << (value.flag ? "true" : "false"); return;
case Json::Kind::Number: out << formatNumber(value.number); return;
case Json::Kind::String: out << quote(value.text); return;
case Json::Kind::Array:
case Json::Kind::Object: {
const bool isObject = value.kind == Json::Kind::Object;
if (value.items.empty()) {
out << (isObject ? "{}" : "[]");
return;
}
out << (isObject ? "{\n" : "[\n");
for (std::size_t i = 0; i < value.items.size(); ++i) {
out << inner;
if (isObject) out << quote(value.keys[i]) << ": ";
writeJson(out, value.items[i], inner);
out << (i + 1 < value.items.size() ? ",\n" : "\n");
}
out << indent << (isObject ? "}" : "]");
}
}
}
Json lesson093() {
const std::vector<double> values{10, 12, 11, 15};
std::vector<std::optional<double>> lag, lead;
for (std::size_t i = 0; i < values.size(); ++i) {
lag.push_back(i == 0 ? std::nullopt : std::optional<double>(values[i - 1]));
lead.push_back(i == values.size() - 1 ? std::nullopt : std::optional<double>(values[i + 1]));
}
return jobj({{"lag", jnums(lag)}, {"lead", jnums(lead)}});
}
int main() {
writeJson(std::cout, lesson093());
std::cout << "\n";
return 0;
}
No browser runner for C++ yet
Read the code here, then run it in your own toolchain or a ready-made cloud workspace.
Expected output
{
"lag": [
null,
10,
12,
11
],
"lead": [
12,
11,
15,
null
]
}// Fintech Math Bootcamp · Lesson 093 of 120
// Lags, Leads, and Temporal Dependence
// Module 10: Financial Time-Series Foundations
//
// Scenario: Keeping past features separate from future labels
// Rule: lag₁ at t = xₜ₋₁; lead₁ at t = xₜ₊₁
//
// Try it: What does a one-row lag mean on an irregular event series?
//
// Lesson article: https://thefintechbuilder.com/financial-mathematics-statistics-and-data-foundations/financial-time-series-foundations/lags-leads-and-temporal-dependence/
// Free course: https://courses.thefintechbuilder.com
// Synthetic teaching example, not financial advice or a production library.
//
// Run: rustc -O main.rs && ./main
#![allow(dead_code)]
/// Minimal JSON value; objects keep insertion order.
enum Json {
Null,
Bool(bool),
Num(f64),
Str(String),
Arr(Vec<Json>),
Obj(Vec<(String, Json)>),
}
fn obj(fields: Vec<(&str, Json)>) -> Json {
Json::Obj(fields.into_iter().map(|(k, v)| (k.to_string(), v)).collect())
}
fn nums(values: &[f64]) -> Json {
Json::Arr(values.iter().map(|&v| Json::Num(v)).collect())
}
fn optional_nums(values: &[Option<f64>]) -> Json {
Json::Arr(values.iter().map(|v| v.map_or(Json::Null, Json::Num)).collect())
}
fn quote(text: &str) -> String {
let mut out = String::from("\"");
for c in text.chars() {
match c {
'"' => out.push_str("\\\""),
'\\' => out.push_str("\\\\"),
c if (c as u32) < 0x20 => out.push_str(&format!("\\u{:04x}", c as u32)),
c => out.push(c),
}
}
out.push('"');
out
}
// Display for f64 prints the shortest string that round-trips, as JavaScript does.
fn write_json(value: &Json, indent: &str, out: &mut String) {
let inner = format!("{} ", indent);
match value {
Json::Null => out.push_str("null"),
Json::Bool(b) => out.push_str(if *b { "true" } else { "false" }),
Json::Num(n) => out.push_str(&format!("{}", n)),
Json::Str(s) => out.push_str("e(s)),
Json::Arr(items) if items.is_empty() => out.push_str("[]"),
Json::Obj(fields) if fields.is_empty() => out.push_str("{}"),
Json::Arr(items) => {
out.push_str("[\n");
for (i, item) in items.iter().enumerate() {
out.push_str(&inner);
write_json(item, &inner, out);
out.push_str(if i + 1 < items.len() { ",\n" } else { "\n" });
}
out.push_str(indent);
out.push(']');
}
Json::Obj(fields) => {
out.push_str("{\n");
for (i, (key, item)) in fields.iter().enumerate() {
out.push_str(&inner);
out.push_str("e(key));
out.push_str(": ");
write_json(item, &inner, out);
out.push_str(if i + 1 < fields.len() { ",\n" } else { "\n" });
}
out.push_str(indent);
out.push('}');
}
}
}
fn lesson_093() -> Json {
let values: [f64; 4] = [10.0, 12.0, 11.0, 15.0];
let n = values.len();
let lag: Vec<Option<f64>> = (0..n).map(|i| if i == 0 { None } else { Some(values[i - 1]) }).collect();
let lead: Vec<Option<f64>> = (0..n).map(|i| if i == n - 1 { None } else { Some(values[i + 1]) }).collect();
obj(vec![("lag", optional_nums(&lag)), ("lead", optional_nums(&lead))])
}
fn main() {
let mut out = String::new();
write_json(&lesson_093(), "", &mut out);
println!("{}", out);
}
No browser runner for Rust yet
Read the code here, then run it in your own toolchain or a ready-made cloud workspace.
Expected output
{
"lag": [
null,
10,
12,
11
],
"lead": [
12,
11,
15,
null
]
}// Fintech Math Bootcamp · Lesson 093 of 120
// Lags, Leads, and Temporal Dependence
// Module 10: Financial Time-Series Foundations
//
// Scenario: Keeping past features separate from future labels
// Rule: lag₁ at t = xₜ₋₁; lead₁ at t = xₜ₊₁
//
// Try it: What does a one-row lag mean on an irregular event series?
//
// Lesson article: https://thefintechbuilder.com/financial-mathematics-statistics-and-data-foundations/financial-time-series-foundations/lags-leads-and-temporal-dependence/
// Free course: https://courses.thefintechbuilder.com
// Synthetic teaching example, not financial advice or a production library.
//
// Run: dotnet run
using System;
using System.Collections.Generic;
using System.Globalization;
using System.Linq;
using System.Text.Encodings.Web;
using System.Text.Json;
var options = new JsonSerializerOptions { WriteIndented = true, Encoder = JavaScriptEncoder.UnsafeRelaxedJsonEscaping };
Console.WriteLine(JsonSerializer.Serialize(Lesson093(), options));
static object Lesson093()
{
int[] values = { 10, 12, 11, 15 };
int?[] lag = values.Select((_, i) => i == 0 ? (int?)null : values[i - 1]).ToArray();
int?[] lead = values.Select((_, i) => i == values.Length - 1 ? (int?)null : values[i + 1]).ToArray();
return new { lag, lead };
}
No browser runner for C# yet
Read the code here, then run it in your own toolchain or a ready-made cloud workspace.
Expected output
{
"lag": [
null,
10,
12,
11
],
"lead": [
12,
11,
15,
null
]
}Prefer your own machine? Every file is in the course repository · open it in Codespaces.
Lesson notes
The rule
lag₁ at t = xₜ₋₁; lead₁ at t = xₜ₊₁